{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9ff02ee8",
   "metadata": {},
   "source": [
    "**Author:** Dr. Mallarapu  \n",
    "**Created:** 2026-07-27  \n",
    "**Course:** SEAS 8414 \u2014 Security Analytics\n",
    "\n",
    "---\n",
    "\n",
    "### Goal of this notebook\n",
    "\n",
    "Train and audit URL classifiers on one canonical malicious-URL dump, using lexical and host features.\n",
    "\n",
    "### What you will learn\n",
    "\n",
    "1. Read a majority-class baseline before trusting any accuracy figure.\n",
    "2. Find the strongest single feature, then test it by dropping it and refitting.\n",
    "3. Tell duplicate inflation apart from genuine signal.\n",
    "4. Report per-group recall, because the rare classes carry the risk.\n",
    "5. Refuse to concatenate several versions of one corpus.\n",
    "\n",
    "### Where this connects to the course text\n",
    "\n",
    "The text builds a defence pipeline; this notebook trains a classifier and audits it. The links below are to specific chapter objectives that share an *analytic move*, not to matching subject matter.\n",
    "\n",
    "- **Chapter 9: Supply-Chain Integrity and Counterfeit Detection** \u2014 Learning objectives 2 and 3 (section 9.1) separate documentation gaps from tamper evidence, and warn that screening signals are **not independent**. Both apply to artifact-derived features.\n",
    "- **Chapter 11: Formal Protocol Verification** \u2014 Section **11.1.2**, titled *Proved, tested, and hoped*, asks you to separate exactly those three. (Chapter 11 lists its objectives in \u00a711.0, not \u00a711.1 as the other chapters do.) The ablation does that job here: it tests whether the headline survives.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76763d8f",
   "metadata": {},
   "source": [
    "# Malicious URL Detection (Phishing / Defacement / Malware)\n",
    "### Model comparison + validity audit on Malicious-URL-2026 (632,844 URLs, via Kaggle)\n",
    "\n",
    "**Abstract:** The canonical 2026 malicious-URL dump: **632,844 URLs** labelled benign vs phishing / defacement / malware. Each URL is described by **84 usable** lexical, host and web-security features (99 columns as loaded, minus label/ID and constant columns). We compare four learners and audit which features carry the score."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef6249b2",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify a URL as benign or malicious from lexical and host features (length, entropy, special-char counts, TLD, brand-hijack signals). Malicious-URL detection is front-line phishing defence; the question is whether the model learns structure or a dataset-collection artifact."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc809f93",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Sahoo, Liu & Hoi (2017)** \u2014 *Malicious URL Detection using Machine Learning: A Survey* (arXiv:1701.07179).\n",
    "- **Ma, Saul, Savage & Voelker (2009)** \u2014 *Beyond Blacklists: Learning to Detect Malicious Web Sites from Suspicious URLs* (KDD '09, pp. 1245\u20131254). Cite that title exactly. The same four authors' later *Learning to Detect Malicious URLs* (ACM TIST 2(3), 2011) is a **different** paper. The two are routinely conflated.\n",
    "- **Sommer & Paxson (2010)** \u2014 closed-world ML caveats.\n",
    "\n",
    "**Representative approaches and their known caveats** \u2014 drawn from the wider literature and qualitative only. These are **not** measurements reproduced on this corpus, so no figures are quoted:\n",
    "\n",
    "| Reported approach | Known caveat |\n",
    "|---|---|\n",
    "| Sahoo et al. (2017) survey \u2014 lexical ML | source-dataset artifacts can dominate |\n",
    "| Blacklist + lexical features | poor generalization to new campaigns |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2790aa1d",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `moutasmtamimi/malicious-url-detection-dataset-enhanced-2026` |\n",
    "| Rows | **632,844** URLs from the canonical `MUD_malicious_urls_2026_V2.csv` (the archive's other files are older versions of the same corpus and are deliberately NOT concatenated) |\n",
    "| Label | `type` = benign / defacement / phishing / malware |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** an **aggregated 2026 community** dataset (built from ISCX-URL-style sources); provenance of individual URLs varies. The redundant label columns (`class_label`, numeric `label`) and raw-string/timestamp columns are dropped to prevent leakage; a near-perfect score likely reflects source-dataset separability, not deployable detection.\n",
    "\n",
    "**What the archive does and does not tell you:** it records no per-URL upstream provenance. Its `source_dataset` and `dataset_version` columns name only this file's own lineage. It documents neither how the URLs were obtained nor any claim that they were synthesized. The ISCX-style attribution above is therefore inherited from the corpus's commonly-cited lineage, not a per-row fact this file certifies. Two consequences run through the rest of the notebook. First, \u201cthat is just how the corpus was generated\u201d is **not** an explanation this dump supports for any result below. Second, cross-source generalization cannot be tested from inside it.\n",
    "\n",
    "### Before you run this: getting the data\n",
    "\n",
    "This notebook downloads its own data on the first run, then caches it. You do not fetch anything by hand.\n",
    "\n",
    "**Dataset:** Kaggle `moutasmtamimi/malicious-url-detection-dataset-enhanced-2026` -> `/tmp/kg_malicious-url-detection-dataset-enhanced-2026`. It is about **790 MB** on disk.\n",
    "\n",
    "**One-time setup.** Sign in at kaggle.com, open **Settings**, and under **API** choose **Create New Token**. Kaggle hands you a `kaggle.json` file. This notebook does *not* read that file. It reads a plain key file, so convert it once:\n",
    "\n",
    "```bash\n",
    "mkdir -p ~/.kaggle\n",
    "python3 -c \"import json;print(json.load(open('kaggle.json'))['key'],end='')\" > ~/.kaggle/access_token\n",
    "chmod 600 ~/.kaggle/access_token\n",
    "```\n",
    "\n",
    "Never paste the token into a cell, a commit, or a screenshot. If it leaks, revoke it from the same Settings page.\n",
    "\n",
    "**If the loader fails:**\n",
    "\n",
    "- `FileNotFoundError: ~/.kaggle/access_token` - you created `kaggle.json` but not the key file. Run the command above.\n",
    "- `401 Unauthorized` - the key is wrong, or a trailing newline crept in.\n",
    "- `403 Forbidden` - open the dataset page on Kaggle while signed in, accept its terms, then re-run the cell.\n",
    "\n",
    "The cache sits under `/tmp`, which macOS clears on reboot. To keep it, move the folder somewhere durable and symlink it back. Do **not** edit the path in the code cell below: that changes a code cell and invalidates the stored outputs you are reviewing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe60f37f",
   "metadata": {},
   "source": [
    "## 4. Solution design\n",
    "\n",
    "The methodology is deliberately two-track. We *earn* a headline score with standard modelling, then *interrogate* it with a validity audit. Only a verdict that survives both is reported. The diagram below is the shape of every notebook in this series."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "727afe8e",
   "metadata": {},
   "source": [
    "**Figure 4.1 \u2014 Solution design (methodology).**\n",
    "\n",
    "<img 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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 4.1 \u2014 Solution design (methodology).\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21d6b8fc",
   "metadata": {},
   "source": [
    "## 5. Implementation architecture\n",
    "\n",
    "Five stages \u2014 ingestion, preprocessing, modelling, evaluation, and a parallel validity-audit path \u2014 feed a single graded results ledger. Leakage defences (dropping label-derived and identifier columns) live in preprocessing, before any model sees the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50696ae7",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img 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style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c717941",
   "metadata": {},
   "source": [
    "## 6. Data acquisition & preparation\n",
    "\n",
    "Every line below is commented so a student can re-run and modify each step. The cell ends by producing the standard analysis variables: `df`, `X` (clean numeric features), `y` (binary label), `feat` (feature names), and `family`. `family` is the per-group label used for the recall breakdown. It is an attack family on the intrusion corpora, but a transaction type, merchant category or malware category on the fraud/malware ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2f860f7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import time, warnings; warnings.filterwarnings('ignore')   # keep output clean\n",
    "import numpy as np, pandas as pd                            # numerics + dataframes\n",
    "import matplotlib.pyplot as plt                             # static plots (embed in HTML+PDF)\n",
    "plt.rcParams['figure.dpi'] = 120                            # crisp figures\n",
    "RANDOM_STATE = 0                                            # single seed used everywhere\n",
    "np.random.seed(RANDOM_STATE)                                # reproducible sampling\n",
    "NEG_WORD, POS_WORD = 'benign', 'attack'                      # class names (overridden by some loaders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "933b13ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 632,844 rows x 84 features; positive rate 0.3328\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# Kaggle auth: token read from ~/.kaggle/access_token (students supply their own).\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "import kaggle; kaggle.api.authenticate()\n",
    "REF = 'moutasmtamimi/malicious-url-detection-dataset-enhanced-2026'; DEST = '/tmp/kg_' + REF.split('/')[-1]\n",
    "if not os.path.exists(DEST):                                   # download + unzip once (cached)\n",
    "    kaggle.api.dataset_download_files(REF, path=DEST, unzip=True, quiet=True)\n",
    "NROWS = 1_500_000                                              # per-file read cap (memory bound)\n",
    "files = sorted(glob.glob(DEST + '/**/*.csv', recursive=True))\n",
    "ONLY = 'MUD_malicious_urls_2026_V2.csv'                                          # canonical file (others are variants)\n",
    "files = [f for f in files if os.path.basename(f) == ONLY] or files\n",
    "assert len(files) == 1, f'expected the canonical file {ONLY}, got {files}'\n",
    "df = pd.concat([pd.read_csv(f, low_memory=False, nrows=NROWS) for f in files], ignore_index=True)  # combine day/part files\n",
    "df.columns = [str(c).strip() for c in df.columns]             # strip header whitespace\n",
    "LABEL = 'type'; FAMILY = 'type'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != 'benign').astype(int)  # benign=0\n",
    "df['family'] = df[FAMILY].astype(str).str.strip()             # descriptive attack family\n",
    "df = df.reset_index(drop=True)\n",
    "assert len(df) >= 400_000, f'floor not met: {len(df):,}'    # honesty gate on corpus size\n",
    "DROP = list({LABEL, FAMILY, 'y', 'family'} | set(['class_label', 'label', 'url', 'url_normalized', 'url_hash', 'source_dataset', 'dataset_version', 'ts_first_seen', 'ts_aggregated', 'host', 'path', 'query', 'tld']))  # never leak label cols\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop ID/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:           # encode remaining categoricals\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15)                                        # clip huge NetFlow counts (float32-safe)\n",
    "X = X.loc[:, X.nunique() > 1]                                  # drop constants\n",
    "import re                                                      # LightGBM rejects special chars in names\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # sanitize to unique, safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy()                                         # STANDARD CONTRACT\n",
    "NEG_WORD, POS_WORD = 'benign', 'malicious'               # class names for plots\n",
    "print(f'loaded {len(df):,} rows x {len(feat)} features; positive rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07341ab7",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "274c0205",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1320x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 1: class balance and the attack-family mix ---\n",
    "fig, ax = plt.subplots(1, 2, figsize=(11, 4))\n",
    "df['y'].map({0:NEG_WORD,1:POS_WORD}).value_counts().plot.bar(               # counts per class\n",
    "    ax=ax[0], color=['#2a9d8f','#e76f51']); ax[0].set_yscale('log')\n",
    "ax[0].set_title(f'Class balance ({NEG_WORD} vs {POS_WORD})'); ax[0].set_ylabel('records (log)')\n",
    "df.loc[df.y==1,'family'].value_counts().head(8).plot.barh(                  # top attack families\n",
    "    ax=ax[1], color='#e76f51'); ax[1].invert_yaxis(); ax[1].set_title('Top attack families')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c10c602c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 2: feature correlation + a 2-D PCA projection ---\n",
    "from sklearn.preprocessing import StandardScaler                 # scale before PCA\n",
    "from sklearn.decomposition import PCA\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 5))\n",
    "topv = X[feat].var().sort_values().tail(12).index                # 12 highest-variance features\n",
    "im = ax[0].imshow(X[topv].corr(), cmap='coolwarm', vmin=-1, vmax=1)  # correlation heatmap\n",
    "ax[0].set_xticks(range(len(topv))); ax[0].set_xticklabels(topv, rotation=90, fontsize=7)\n",
    "ax[0].set_yticks(range(len(topv))); ax[0].set_yticklabels(topv, fontsize=7)\n",
    "ax[0].set_title('Feature correlation (top-variance)'); fig.colorbar(im, ax=ax[0], shrink=0.7)\n",
    "samp = X.sample(min(5000, len(X)), random_state=RANDOM_STATE)     # subsample for a fast PCA\n",
    "pc = PCA(n_components=2).fit_transform(StandardScaler().fit_transform(samp))\n",
    "ys = y[samp.index]                                               # aligned labels for coloring\n",
    "for lab,c in [(0,'#2a9d8f'),(1,'#e76f51')]:\n",
    "    ax[1].scatter(pc[ys==lab,0], pc[ys==lab,1], s=4, alpha=0.4, color=c,\n",
    "                  label={0:NEG_WORD,1:POS_WORD}[lab])\n",
    "ax[1].set_title('PCA projection (2 components)'); ax[1].legend(); ax[1].set_xlabel('PC1'); ax[1].set_ylabel('PC2')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de5b9410",
   "metadata": {},
   "source": [
    "## 8. Model comparison\n",
    "\n",
    "Four diverse learners share one held-out split, ranked by ROC-AUC.\n",
    "\n",
    "**Two honesty guards print with the table:**\n",
    "\n",
    "1. The models train on a *stratified subsample* of at most 120,000 rows. The full row count is printed above. So every score here is a subsample number, not a full-corpus claim.\n",
    "2. The **majority-class baseline accuracy** appears *inside* the ranking table. On imbalanced data, 0.99 accuracy can be worse than always guessing the majority class. Judge each model against that baseline, not against 0.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7347f3ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 632,844 rows | trained on 120,000 (stratified subsample) | held-out 158,211\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.6672  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: XGBoost\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>train_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.944650</td>\n",
       "      <td>0.983724</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.943967</td>\n",
       "      <td>0.982652</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.940276</td>\n",
       "      <td>0.981419</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.882625</td>\n",
       "      <td>0.934224</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.667200</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  accuracy   roc_auc  train_s\n",
       "0             XGBoost  0.944650  0.983724      0.7\n",
       "1        RandomForest  0.943967  0.982652      0.9\n",
       "2            LightGBM  0.940276  0.981419      1.5\n",
       "3  LogisticRegression  0.882625  0.934224      0.3\n",
       "4    MajorityBaseline  0.667200  0.500000      0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Model comparison: four learners on the same held-out split ---\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "import xgboost as xgb, lightgbm as lgb\n",
    "\n",
    "# Stratified split keeps the class ratio in both halves.\n",
    "Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, random_state=RANDOM_STATE, stratify=y)\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "N_MATERIALIZED = len(y)                                          # the full corpus we loaded (see printed count)\n",
    "# HONEST DISCLOSURE: we do NOT train on all N. We fit on a STRATIFIED subsample (<=120k) because\n",
    "# these learners saturate long before then on this data. Every headline below is a SUBSAMPLE\n",
    "# number, not a full-corpus number \u2014 saying otherwise would be the fabrication this course forbids.\n",
    "if len(Xtr) > 120_000:\n",
    "    Xtr, _, ytr, _ = train_test_split(Xtr, ytr, train_size=120_000, random_state=RANDOM_STATE,\n",
    "                                      stratify=ytr)               # genuinely stratified, not random\n",
    "MAJORITY_BASELINE = max(np.mean(yte), 1 - np.mean(yte))          # accuracy of 'always predict majority'\n",
    "print(f'materialized {N_MATERIALIZED:,} rows | trained on {len(Xtr):,} (stratified subsample) | '\n",
    "      f'held-out {len(yte):,}')\n",
    "print(f'MAJORITY-CLASS BASELINE accuracy = {MAJORITY_BASELINE:.4f}  '\n",
    "      f'(any model must beat THIS, not 0.5, to be interesting)')\n",
    "\n",
    "models = {                                                        # four standard, diverse learners\n",
    "    'LogisticRegression': make_pipeline(StandardScaler(), LogisticRegression(max_iter=300)),  # scaled!\n",
    "    'RandomForest': RandomForestClassifier(n_estimators=60, n_jobs=-1, random_state=RANDOM_STATE),\n",
    "    'XGBoost': xgb.XGBClassifier(n_estimators=80, max_depth=6, tree_method='hist', n_jobs=-1,\n",
    "                                 eval_metric='logloss', random_state=RANDOM_STATE),\n",
    "    'LightGBM': lgb.LGBMClassifier(n_estimators=80, n_jobs=-1, verbose=-1, random_state=RANDOM_STATE),\n",
    "}\n",
    "rows, fitted = [], {}\n",
    "for name, m in models.items():                                    # fit + score each model\n",
    "    t = time.perf_counter(); m.fit(Xtr, ytr); fitted[name] = m\n",
    "    p = m.predict_proba(Xte)[:, 1]                                # positive-class probability on held-out\n",
    "    rows.append({'model': name, 'accuracy': round(accuracy_score(yte, (p>0.5).astype(int)), 6),\n",
    "                 'roc_auc': round(roc_auc_score(yte, p), 6),      # 6 dp: a 1.000000 is a red flag, not a win\n",
    "                 'train_s': round(time.perf_counter()-t, 1)})\n",
    "rows.append({'model': 'MajorityBaseline', 'accuracy': round(MAJORITY_BASELINE, 4),\n",
    "             'roc_auc': 0.5, 'train_s': 0.0})            # show the baseline IN the ranking table\n",
    "comparison = pd.DataFrame(rows).sort_values('roc_auc', ascending=False).reset_index(drop=True)\n",
    "_ranked = comparison[comparison.model != 'MajorityBaseline']\n",
    "best_name = _ranked.iloc[0]['model']; best = fitted[best_name]  # winner by ROC-AUC (excl. baseline)\n",
    "print('best model:', best_name); comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9d2a2f2",
   "metadata": {},
   "source": [
    "## 9. Results\n",
    "\n",
    "Diagnostics for the winning model, including **per-group recall**.\n",
    "\n",
    "The grouping comes from whatever the loader put in `family`. It is *not* always an attack taxonomy. On the intrusion corpora it is the attack family. On the fraud and malware corpora it is a transaction type, a merchant category or a malware category. On binary corpora it collapses to the positive class.\n",
    "\n",
    "Read it accordingly. Where the groups are genuinely rare classes, they reveal whether detection is real. The dominant flood classes do not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f210b2c7",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1800x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1560x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "operational FALSE-POSITIVE RATE @0.5 = 0.0189  (1,996 benign flagged of 105,560)\n",
      "worst per-family recalls: {'phishing': 0.714, 'malware': 0.988, 'defacement': 0.997}\n"
     ]
    }
   ],
   "source": [
    "# --- Results for the best model: confusion, ROC, PR, importances, per-family recall ---\n",
    "from sklearn.metrics import confusion_matrix, roc_curve, precision_recall_curve, recall_score\n",
    "pb = best.predict_proba(Xte)[:, 1]; pred = (pb > 0.5).astype(int)\n",
    "fig, ax = plt.subplots(1, 3, figsize=(15, 4))\n",
    "# (1) confusion matrix\n",
    "cm = confusion_matrix(yte, pred); ax[0].imshow(cm, cmap='Blues')\n",
    "ax[0].set_title(f'{best_name}: confusion'); ax[0].set_xticks([0,1]); ax[0].set_yticks([0,1])\n",
    "ax[0].set_xticklabels([NEG_WORD,POS_WORD]); ax[0].set_yticklabels([NEG_WORD,POS_WORD])\n",
    "for (i,j),v in np.ndenumerate(cm): ax[0].text(j,i,f'{v:,}',ha='center',va='center')\n",
    "# (2) ROC and PR curves\n",
    "fpr,tpr,_ = roc_curve(yte, pb); prec,rec,_ = precision_recall_curve(yte, pb)\n",
    "ax[1].plot(fpr,tpr,color='#264653'); ax[1].plot([0,1],[0,1],'--',c='grey')\n",
    "ax[1].set_title(f'ROC (AUC={roc_auc_score(yte,pb):.4f})'); ax[1].set_xlabel('FPR'); ax[1].set_ylabel('TPR')\n",
    "ax[2].plot(rec,prec,color='#e76f51'); ax[2].set_title('Precision-Recall'); ax[2].set_xlabel('recall'); ax[2].set_ylabel('precision')\n",
    "plt.tight_layout(); plt.show()\n",
    "\n",
    "# (3) feature importances + (4) per-attack-family recall\n",
    "fig, ax = plt.subplots(1, 2, figsize=(13, 5))\n",
    "imp, names = None, feat                                           # importances, robust to the scaled-LR pipeline\n",
    "if hasattr(best, 'feature_importances_'):                          # tree models\n",
    "    imp = best.feature_importances_; names = list(getattr(best, 'feature_names_in_', feat))[:len(imp)]\n",
    "elif hasattr(best, 'named_steps') and 'logisticregression' in getattr(best, 'named_steps', {}):\n",
    "    imp = np.abs(best.named_steps['logisticregression'].coef_[0]); names = feat  # LR pipeline\n",
    "elif hasattr(best, 'coef_'):\n",
    "    imp = np.abs(best.coef_[0]); names = feat\n",
    "if imp is not None:\n",
    "    pd.Series(imp, index=names[:len(imp)]).sort_values().tail(12).plot.barh(ax=ax[0], color='#264653')\n",
    "ax[0].set_title(f'{best_name}: top importances / |coef|')\n",
    "# Per-family recall, WORST-first so rare, hard classes are visible, not just the dominant floods.\n",
    "fam_te = df.loc[Xte.index, 'family']\n",
    "fr = {}\n",
    "for fam, cnt in fam_te[yte==1].value_counts().items():\n",
    "    if cnt < 5: continue                                          # need a few positives for a meaningful recall\n",
    "    mask = (fam_te==fam).to_numpy(); fr[fam] = recall_score(yte[mask], pred[mask], zero_division=0)\n",
    "srt = pd.Series(fr).sort_values()\n",
    "show = pd.concat([srt.head(9), srt.tail(3)]) if len(srt) > 12 else srt   # worst 9 + best 3\n",
    "show = show[~show.index.duplicated()]\n",
    "show.plot.barh(ax=ax[1], color=['#e76f51' if v < 0.5 else '#2a9d8f' for v in show]); ax[1].set_xlim(0,1)\n",
    "ax[1].set_title('Per-family recall (worst first; red < 0.5)')\n",
    "plt.tight_layout(); plt.show()\n",
    "# Operational numbers, not just figures: false-positive rate and the worst per-family recalls.\n",
    "tn, fp = int(cm[0,0]), int(cm[0,1])\n",
    "fpr_op = fp/(fp+tn) if (fp+tn) > 0 else float('nan')             # benign wrongly flagged @0.5\n",
    "print(f'operational FALSE-POSITIVE RATE @0.5 = {fpr_op:.4f}  ({fp:,} benign flagged of {fp+tn:,})')\n",
    "print('worst per-family recalls:', {k: round(v, 3) for k, v in srt.head(6).items()})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "876bc190",
   "metadata": {},
   "source": [
    "## 10. Validity audit \u2014 is the score real?\n",
    "\n",
    "Three diagnostics. **(a)** How well can the *single best feature*, alone, separate the classes? A near-1.0 single-feature AUC means that feature is *near-sufficient* \u2014 a shortcut (which may be legitimate signal or an artifact), not the same as target leakage. **(b)** The exact-duplicate row rate. **(c)** The **train/test exact-row contamination** \u2014 the fraction of held-out rows that are duplicates of training rows, which is what actually inflates a held-out score. The trust grade is the *worse* of the single-feature and contamination concerns.\n",
    "\n",
    "**Read the sample sizes together with the grades:** The per-feature AUCs in **(a)** are computed on a 60,000-row random subsample of the corpus. The contamination in **(c)** is computed on the first 50,000 held-out rows. Only the duplicate rate in **(b)** covers the whole corpus. Both are therefore estimates rather than full-corpus measurements, and should be read as such."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "96500078",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.7937  (feature: abnormal_url)\n",
      "   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\n",
      "   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.\n",
      "exact-duplicate row rate (whole corpus) = 0.190\n",
      "TRAIN/TEST exact-row contamination       = 0.149  (single-feat grade A, contam grade B)\n",
      "==> data trust grade: B   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 960x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- Validity audit: is the score real detection, or a data shortcut? ---\n",
    "from sklearn.metrics import roc_auc_score\n",
    "samp = X.sample(min(60_000, len(X)), random_state=1); ysamp = y[samp.index]\n",
    "aucs = {}\n",
    "for c in feat:                                                    # AUC of EACH feature alone\n",
    "    col = samp[c].to_numpy(float)\n",
    "    if col.std()==0: continue\n",
    "    a = roc_auc_score(ysamp, col); aucs[c] = max(a, 1-a)          # direction-agnostic\n",
    "best_auc = max(aucs.values()); best_col = max(aucs, key=aucs.get)\n",
    "dup_rate = 1 - X.drop_duplicates().shape[0]/len(X)               # exact-duplicate feature rows (whole set)\n",
    "# The statistic that actually inflates a held-out score is TRAIN/TEST CONTAMINATION: how many test\n",
    "# rows are exact duplicates of a training row. Measure it directly on the split used above.\n",
    "_trkeys = set(map(tuple, np.round(Xtr.to_numpy(), 6)))\n",
    "_te = np.round(Xte.to_numpy(), 6)[:50_000]\n",
    "contam = float(np.mean([tuple(r) in _trkeys for r in _te]))      # fraction of test rows seen in train\n",
    "# Trust grade reflects BOTH failure modes and takes the WORSE of the two: a near-perfect single\n",
    "# feature (shortcut) OR heavy train/test contamination each independently invalidate the headline.\n",
    "_ga = 'F' if best_auc>=0.999 else 'D' if best_auc>=0.99 else 'C' if best_auc>=0.95 else 'B' if best_auc>=0.85 else 'A'\n",
    "_gc = 'F' if contam>=0.5 else 'D' if contam>=0.3 else 'C' if contam>=0.15 else 'B' if contam>=0.05 else 'A'\n",
    "grade = max(_ga, _gc)                                            # 'max' letter = worse grade (A best, F worst)\n",
    "print(f'best single-feature AUC = {best_auc:.4f}  (feature: {best_col})')\n",
    "print(f'   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\\n'\n",
    "      f'   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.')\n",
    "print(f'exact-duplicate row rate (whole corpus) = {dup_rate:.3f}')\n",
    "print(f'TRAIN/TEST exact-row contamination       = {contam:.3f}  (single-feat grade {_ga}, contam grade {_gc})')\n",
    "print(f'==> data trust grade: {grade}   (worse of the two; F = shortcut and/or heavy contamination)')\n",
    "s = pd.Series(aucs).sort_values().tail(15)\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "s.plot.barh(ax=ax, color=['#e76f51' if v>=0.99 else '#457b9d' for v in s]); ax.axvline(0.5,ls='--',c='grey')\n",
    "ax.set_xlim(0.5,1.0); ax.set_title('Single-feature ROC-AUC (red = near-perfect shortcut)'); ax.set_xlabel('AUC alone')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1c5839e",
   "metadata": {},
   "source": [
    "## 11. Ablation \u2014 does the headline survive removing the artifacts?\n",
    "\n",
    "Narrating a shortcut is not enough. We *retrain the winning model* after (1) de-duplicating the corpus (removing the train/test contamination) and (2) dropping the single strongest feature. We report the held-out AUC each time. **Read the result honestly, both ways:** if the AUC **collapses**, the headline was a contamination/shortcut artifact. If it **barely moves**, that is **not vindication**: it means the classes are separable by *many* redundant features, so removing one changes almost nothing. On this corpus that redundancy is expected. Most of the 84 columns are lexical statistics derived from the same URL string. The rest are host and live-site probes of that same site. That redundancy tells you the signal is spread across the feature set. It does not tell you the signal would hold up on URLs collected from a different feed. The numbers below decide which story is true here, not the prose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f60738ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ablation \u2014 how much of the headline survives once each artifact is removed:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>setting</th>\n",
       "      <th>held_out_auc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>headline (as-is)</td>\n",
       "      <td>0.983724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (19% rows removed)</td>\n",
       "      <td>0.979117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (abnormal_url)</td>\n",
       "      <td>0.983691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   setting  held_out_auc\n",
       "0                         headline (as-is)      0.983724\n",
       "1         de-duplicated (19% rows removed)      0.979117\n",
       "2  shortcut feature dropped (abnormal_url)      0.983691"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Ablation: SHOW the inflation empirically, don't just narrate it ---\n",
    "from sklearn.base import clone\n",
    "def _retrain_auc(Xa, ya):                                        # re-split, stratified-subsample, refit best family\n",
    "    xtr, xte, ytr2, yte2 = train_test_split(Xa, ya, test_size=0.25, random_state=RANDOM_STATE, stratify=ya)\n",
    "    if len(xtr) > 120_000:\n",
    "        xtr, _, ytr2, _ = train_test_split(xtr, ytr2, train_size=120_000, random_state=RANDOM_STATE, stratify=ytr2)\n",
    "    m = clone(best); m.fit(xtr, ytr2)\n",
    "    return roc_auc_score(yte2, m.predict_proba(xte)[:, 1])\n",
    "base_auc = roc_auc_score(yte, best.predict_proba(Xte)[:, 1])     # (0) the headline held-out AUC\n",
    "Xdd = X.drop_duplicates(); ydd = y[Xdd.index]                    # (1) de-duplicated corpus\n",
    "auc_dedup = _retrain_auc(Xdd, ydd)\n",
    "auc_noshort = _retrain_auc(X.drop(columns=[best_col]), y) if best_col in X.columns else base_auc  # (2) drop shortcut\n",
    "ablation = pd.DataFrame([\n",
    "    {'setting': 'headline (as-is)',              'held_out_auc': round(base_auc, 6)},\n",
    "    {'setting': f'de-duplicated ({1-len(Xdd)/len(X):.0%} rows removed)', 'held_out_auc': round(auc_dedup, 6)},\n",
    "    {'setting': f'shortcut feature dropped ({best_col})', 'held_out_auc': round(auc_noshort, 6)},\n",
    "])\n",
    "print('Ablation \u2014 how much of the headline survives once each artifact is removed:')\n",
    "ablation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d90b2bb2",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "847683dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seed=0 | numpy 2.3.5 | sklearn 1.9.0 | xgboost 1.6.2 | lightgbm 4.7.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost 3-fold CV ROC-AUC = 0.9797 +/- 0.0002  (mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)\n"
     ]
    }
   ],
   "source": [
    "# --- Reproducibility & robustness ---\n",
    "import sklearn\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "print(f'seed={RANDOM_STATE} | numpy {np.__version__} | sklearn {sklearn.__version__} | '\n",
    "      f'xgboost {xgb.__version__} | lightgbm {lgb.__version__}')\n",
    "# 3-fold cross-validated ROC-AUC of the winning model (fresh clone, bounded subsample) -> mean +/- std.\n",
    "from sklearn.base import clone\n",
    "cvX, cvy = Xtr.iloc[:40_000], ytr[:40_000]\n",
    "def _auc_scorer(est, Xv, yv):                                   # robust to xgboost's 2-col predict_proba\n",
    "    p = est.predict_proba(Xv)\n",
    "    p = p[:, 1] if getattr(p, 'ndim', 1) == 2 else p\n",
    "    return roc_auc_score(yv, p)\n",
    "try:\n",
    "    cv = cross_val_score(clone(best), cvX, cvy,\n",
    "                         cv=StratifiedKFold(3, shuffle=True, random_state=RANDOM_STATE),\n",
    "                         scoring=_auc_scorer, error_score='raise')\n",
    "    assert np.all(np.isfinite(cv)), 'non-finite CV folds'   # FAIL CLOSED: never narrate a NaN as evidence\n",
    "    print(f'{best_name} 3-fold CV ROC-AUC = {cv.mean():.4f} +/- {cv.std():.4f}  '\n",
    "          f'(mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)')\n",
    "except Exception as e:\n",
    "    print(f'CV UNAVAILABLE ({type(e).__name__}: {str(e)[:60]}); rely on the single held-out AUC above \u2014 '\n",
    "          f'we do NOT report a CV number we could not compute')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2e14b18",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "Per-class recall across phishing / defacement / malware \u2014 not aggregate accuracy \u2014 is the honest metric, and cross-source testing (absent here) is the real generalization question.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.6672**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **XGBoost** (3-fold CV ROC-AUC **0.9797**). Strongest *single* feature: `abnormal_url` at AUC **0.7937**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.983724 \u2192 0.983691**. So the separability is **multi-feature**. That means the signal sits in many correlated columns rather than in one leaky column. Most of the 84 features are lexical statistics derived from the same URL string. The rest are host and live-site probes of that same site. It does **not** show that the signal would transfer to URLs collected from a different feed. De-duplication lowers the AUC only slightly, to **0.979117**. Repeated rows account for a negligible part of the headline. Data-trust grade: **B**. It is the worse of two independent sub-checks. Single-feature AUC 0.7937 scores **A** (measured on a 60,000-row subsample \u2014 see the audit-method note below). Train/test exact-row overlap 0.149 scores **B**. The overlap check drives the grade, not the single-feature check. That says the split leaks, not that features are clean; the single-feature check separately scores A. Operational false-positive rate at threshold 0.5: **0.0189**. Worst per-group recalls, exactly as printed: {`phishing`: 0.714, `malware`: 0.988, `defacement`: 0.997}. The weakest group sits at **0.714**, which is where detection is thinnest. **Disclosed limitation:** categorical columns are integer-encoded before the split. The encoder therefore sees the test set's category values. On an all-numeric corpus that step is a no-op. The mapping never consults the label, so no *label* information leaks. It is still transductive. A deployed system would need an unseen-category bucket. **How the audit numbers are computed:** the single-feature AUCs come from a 60,000-row random subsample of the corpus, not from all 632,844 rows. The **A** on that sub-check is therefore a sampled estimate rather than a full-corpus measurement. Overlap is measured on the first 50,000 held-out rows, so read it as a sampled estimate too. Each ablation re-splits and refits, so tiny differences are re-split noise. The de-duplication variant keeps the first label when a feature vector appears twice. **Scope:** the split is random, not temporal or entity-grouped. Every number above therefore measures in-distribution separability only."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a24d9cc",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Sahoo, D., Liu, C. & Hoi, S.C.H. (2017). Malicious URL Detection using Machine Learning: A Survey. *arXiv:1701.07179*.\n",
    "2. Ma, J., Saul, L.K., Savage, S. & Voelker, G.M. (2009). Beyond Blacklists: Learning to Detect Malicious Web Sites from Suspicious URLs. *Proc. KDD '09*, 1245\u20131254. doi:10.1145/1557019.1557153.\n",
    "3. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*.\n",
    "4. Ma, J., Saul, L.K., Savage, S. & Voelker, G.M. (2011). Learning to Detect Malicious URLs. *ACM TIST* 2(3), Article 30. \u2014 the later journal paper, distinct from ref. 2."
   ]
  }
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