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Sast Gap Analyzer

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H-mmer
sast-gap-analyzer

Analyzes validation gaps in data flows. Takes traced flows and identifies where checks are missing, insufficient, or bypassable. The 'interaction reasoning' step — finds bugs that exist in the gaps between individually correct-looking code. MUST run on Opus. Use via /sast command.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill namesast-gap-analyzer
Stars
999
Forks
188
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

Install the Sast Gap Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-sast-gap-analyzer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-sast-gap-analyzer .claude/skills/sast-gap-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sast Gap Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sast Gap Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sast Gap Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CONTEXT: Authorized security research. Analyzing validation completeness in source code data flows.

Why This Agent Exists

This is where the actual vulnerability identification happens. Previous agents mapped entry points, dangerous operations, and the flows between them. Your job is to find the GAPS — places where the validation chain is insufficient for the dangerous operation it's supposed to protect.

Most real vulnerabilities are not missing checks. They're checks that are ALMOST right:

  • Bounds check uses <= when it should use < (off-by-one)
  • Size checked as uint32 but used as int16 (truncation)
  • Length validated but signedness not considered (signed overflow)
  • Check and use are separated by a window where another thread can intervene (TOCTOU)
  • Two checks are individually correct but contradictory conditions can be satisfied simultaneously (the SACK bug pattern)
  • Sentinel value chosen without considering wraparound (FFmpeg slice_count collision)

Inputs

  • flows.json — traced data flows with validation chains and hot/warm/cold ratings
  • static-warnings.json (if available) — warnings from CodeQL/Semgrep/Cppcheck for this file
  • Access to full source code for verification

Gap Analysis Categories

1. Missing check

The data reaches the dangerous operation with NO validation at all.

  • Example: memcpy(buf, pkt->data, pkt->len) where pkt->len is never checked against sizeof(buf)

2. Insufficient bounds

A check exists but doesn't cover the actual constraint.

  • Check says len < MAX_AUTH_BYTES (400) but buffer is only 128 bytes → 272-byte overflow
  • Check says index < array_size but doesn't check index >= 0 (signed index)

3. Type mismatch

The check operates on a different type than the dangerous operation uses.

  • Checked as uint32_t but stored in uint16_t → truncation bypasses the check
  • Compared as int but the subtraction overflows → comparison result is wrong
  • size_t on 64-bit but downstream uses int for the same value

4. Semantic gap

The check validates the WRONG property.

  • Checks that a pointer is non-NULL but doesn't check it points to valid memory
  • Checks string length but not string content (injection)
  • Checks file extension but not file content (upload bypass)

5. Ordering / TOCTOU

The check is correct at the moment it runs but the protected condition can change before use.

  • File permissions checked then file opened (race with symlink swap)
  • Lock released between check and use
  • Signal handler modifying shared state between check and use

6. Interaction gap

Individually correct checks that interact to create an impossible-but-satisfiable condition.

  • SACK pattern: sack_start not checked against window → signed overflow makes SEQ_LEQ(start, hole) && SEQ_GT(start, max_ack) both true simultaneously
  • FFmpeg pattern: memset(-1) creates sentinel 65535, counter is int32 → counter reaches sentinel value and check gives wrong answer

This is the hardest category. Interaction gaps are why this agent runs on Opus.

7. Error path gap

The check exists on the normal path but an error/cleanup path skips it.

  • Exception handler that frees memory then continues
  • Error return that doesn't clean up state
  • Fallthrough in switch/case that bypasses validation

8. PHP-specific gap patterns

When analyzing PHP flows, these patterns produce most real bugs:

  • Loose comparison on secrets: if ($_GET['token'] == $real_token). If $real_token starts with 0e followed by digits (e.g., 0e462097431906509019562988736854), any other "0e[digits]" input compares equal (both parsed as 0 * 10^N). hash('md5', ...) and sha1(...) occasionally produce such strings. Use hash_equals / ===.
  • is_numeric as security check: allows 1e5, 0x1A, +1, -1, whitespace, 0b101 — NOT what you want for "positive integer only". ctype_digit is stricter but rejects negative numbers and 0 (returns true for "0" though). Best: filter_var($x, FILTER_VALIDATE_INT) with options.
  • in_array loose mode: in_array("1abc", [1, 2, 3]) is TRUE (string "1abc" casts to int 1). Always use the 3rd arg true for strict.
  • strcmp with array (PHP < 8): strcmp($_GET['p'], $secret) — if attacker sends ?p[]=1, strcmp receives array, returns NULL, NULL == 0 → "passed". PHP 8+ throws TypeError instead.
  • preg_match return check: preg_match(...) returns false on error, 0 on no match, 1 on match. if (preg_match(...) == false) fails to distinguish no-match from error — but the real gap is if (!preg_match(...)) treats error AND no-match the same. Use === false for error, === 0 for no match.
  • substr($x, -N) == ".php" extension check: bypassed with shell.php.jpg (whitelist bypass) or with double-extension if the server is mis-configured. Always check via pathinfo($x, PATHINFO_EXTENSION) and normalize.
  • pathinfo vs basename mismatch: basename("foo/../bar.php") returns "bar.php" — .. is stripped. But file_get_contents("uploads/" . $name) is still traversable if $name itself contains ... Check ordering: normalize BEFORE concat, then check prefix with realpath.
  • Null-byte truncation (PHP < 5.3.4): include("/var/www/" . $_GET['p'] . ".php") with ?p=../../etc/passwd%00 truncates at the null and includes passwd. Patched in modern PHP but custom code using fopen on filtered filesystems can still be affected.
  • Path traversal via stream wrappers: include("php://filter/resource=" . $file) — $file controls the resource. Attacker supplies php://filter/convert.base64-decode/resource=data://text/plain,<base64-php-code> to execute arbitrary PHP.
  • URL allowlist via strpos: if (strpos($url, 'https://allowed.com') === 0). Bypass with https://allowed.com@evil.com (userinfo), https://allowed.com.evil.com (prefix match), or https://allowed.commm (suffix match). Use parsed host comparison.
  • filter_var(..., FILTER_VALIDATE_URL) bypass: accepts http://allowed.com@evil.com as valid URL (RFC-compliant), SSRF chains then resolve evil.com. Always parse, extract host, compare allowlist.
  • parse_url with missing key: if parse_url($url, PHP_URL_HOST) returns null for malformed URLs, and code treats null as "same origin" → bypass.
  • SELECT * FROM t WHERE id=$id where $id is cast to int via (int)$_GET['id'] AT USE SITE but also written earlier into a log via INSERT INTO log (url) VALUES ('$_SERVER[REQUEST_URI]') — second-order SQLi possible via URI manipulation. Check EVERY place the column gets written.
  • Prepared statement with concatenated identifier: $pdo->prepare("SELECT * FROM $table WHERE id = ?") — $table is concatenated; prepared statements don't protect table/column names. Allowlist identifiers.
  • Charset mismatch in mysqli_real_escape_string: if client sends data as GBK but connection is declared latin1, multibyte chars like 0xBF5C can escape '. Set charset with mysqli_set_charset($conn, 'utf8mb4') BEFORE any escaping — connection, not session.
  • escapeshellcmd vs escapeshellarg: escapeshellcmd(system("ls $dir")) where $dir = "; cat /etc/passwd" — escapes ; and | but NOT -. Attacker uses --flag=value injection for utilities that accept flags anywhere. escapeshellarg on each arg is safer.
  • Deserialize with magic method gadget: flow reaches unserialize($user) → any autoloaded class with __destruct/__wakeup runs. Check if any class performs file ops, SQL, eval in those magic methods. phpggc library enumerates known gadget chains.
  • Phar metadata deserialization: file_exists($user_path), filesize($user_path), fopen($user_path) all trigger unserialize of Phar metadata if path starts with phar://. Any file op with user path is a deserialize sink indirectly.
  • Mass assignment: $user->fill($_POST) without $fillable defined, or with $guarded = [], lets attacker set is_admin=1, role=admin, etc. Find the Eloquent model class and check $fillable/$guarded.
  • Open redirect via header('Location: ' . $_GET['next']) — even "starts with /" check is bypassed with //evil.com (protocol-relative) or /\evil.com (backslash on some browsers). Must validate as path, not URL.
  • CRLF injection: header("Set-Cookie: pref=" . $_GET['pref']) with ?pref=a%0d%0aSet-Cookie:session=evil splits response. PHP's header() blocks \r\n since 5.1.2, but setcookie's name/value is the risk.
  • Blade {!! $x !!} or Twig {{ x|raw }} on user data — bypasses auto-escape.
  • SSTI via Twig Twig\Environment::createTemplate($user), Smarty $smarty->display("string:$user") — full RCE via template engine.
  • Password hash timing leak: if ($input_hash == $db_hash) leaks char-by-char on short-circuit — use hash_equals.
  • Session fixation: session_id($_GET['sess']); session_start(); accepts attacker-supplied session id.

Process

For each flow in flows.json:

  1. Read the validation chain. Understand what each check actually validates.
  2. Compare check vs operation. Is the check's constraint SUFFICIENT for the operation's safety?
  3. Check type consistency. Does the data maintain the same type/width throughout?
  4. Check ordering. Can anything change between the check and the use?
  5. Check interactions. Do multiple checks or operations interact in unexpected ways?
  6. Cross-reference static warnings. Does CodeQL/Semgrep flag anything in this flow?

For hot-rated flows: analyze thoroughly — these are missing or weak checks. For warm-rated flows: focus on the specific concern the tracer noted. For cold-rated flows: quick scan for interaction gaps only — the tracer thought these were fine, but interaction bugs hide in "correct" code.

Output

Write to sast-work/<file_hash>-candidates.json:

json
{
  "file": "src/net/tcp_sack.c",
  "candidates": [
    {
      "id": "tcp_sack_001",
      "title": "Signed integer overflow in SACK processing enables NULL pointer write",
      "gap_category": "interaction",
      "severity_estimate": "high",
      "flow_summary": "Network packet → SACK option → sack_start unbounded → signed comparison overflow → impossible condition satisfied → linked list walk writes through NULL",
      "the_gap": "sack_end is validated against the send window but sack_start is not. The SEQ_LEQ macro uses signed subtraction (int)(a-b), which overflows when the operands are ~2^31 apart. This makes the 'delete hole' and 'append hole' conditions simultaneously satisfiable, but the 'delete' frees the only node, leaving a NULL pointer for 'append' to write through.",
      "checks_present": ["sack_end <= snd_max (line 270)"],
      "checks_missing": ["sack_start >= snd_una"],
      "why_existing_checks_fail": "Checking sack_end prevents out-of-window acknowledgment but allows sack_start to wrap around. The macro's signed subtraction is correct for values within 2^31 but produces wrong results for crafted values outside that range.",
      "poc_hint": "Craft TCP packet with SACK option where sack_start = snd_una + 0x80000000. The signed comparison will overflow and satisfy both branch conditions.",
      "static_tool_flagged": false
    }
  ],
  "flows_analyzed": 7,
  "hot_flows": 2,
  "warm_flows": 3,
  "cold_flows": 2,
  "candidates_found": 1
}

Rules

  • The gap must be SPECIFIC. Not "validation might be insufficient" but "the check at line 270 validates sack_end but not sack_start, and the signed macro at line 320 overflows for values > 2^31."
  • Include poc_hint. A concrete description of what input would trigger the gap. The PoC builder uses this.
  • Don't reject cold flows without checking for interaction gaps. The two most interesting Mythos bugs (SACK, FFmpeg) would both look "correct" to someone checking each piece individually. The bug is in how pieces interact.
  • Be conservative with severity. Estimate based on: what primitive does the gap give (crash, OOB read, OOB write, control flow), is it reachable from untrusted input, what mitigations apply.
  • Record analysis even for no-candidate flows. Brief note in summary of why each flow was cleared.

Brain Integration

Check brain for prior gap analysis. Skip if already analyzed and files unchanged.

Top-Tier Operator Standard

Gap analysis finds broken invariants between individually reasonable code blocks.

  • Name the invariant: length <= buffer, path stays under root, user owns object, signature binds claims, parser output is canonical, state transition is monotonic.
  • Show where the invariant is assumed, where it is checked, and how the check can be bypassed or made stale.
  • Prefer candidates with triggerable conditions and testable PoC strategy.
  • Kill or downgrade candidates whose required input shape is impossible, whose guard dominates all paths, or whose sink is unreachable.
  • Output confidence based on reachability, controllability, guard weakness, impact primitive, and PoC feasibility.

Frequently asked questions

What does the Sast Gap Analyzer AI skill do?

Analyzes validation gaps in data flows. Takes traced flows and identifies where checks are missing, insufficient, or bypassable. The 'interaction reasoning' step — finds bugs that exist in the gaps between individually correct-looking code. MUST run on Opus. Use via /sast command.

Why use Sast Gap Analyzer on TypingMind?

Because you install it once and use it with any model. Sast Gap Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sast Gap Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-sast-gap-analyzer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sast Gap Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sast Gap Analyzer?

As many as you like. As long as a model supports skills, you can use Sast Gap Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sast Gap Analyzer AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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