* docs(audit): correctness pass across getting-started, reference, features, messaging, developer-guide, guides, integrations, user-guide * docs: add PR coverage for last 30d + Nous Portal weave + nav reorg + build fixes - Add docs for top user-visible PRs that shipped without docs (api-server session control, kanban features, telegram pin/edit, provider client tag, xAI retired-model migration, cron name lookup, --branch update flag, etc.) - Apply Nous Portal weave across 23 pages (tasteful one-liners on getting-started/learning-path, configuration, overview, vision, x-search, credential-pools, provider-routing, cron, codex-runtime, profiles, docker, messaging/index, multiple guides, plus FAQ + index promotion) - Reorganize sidebar: split Messaging into Popular/M365/Chinese/Other, Reference into Command/Configuration/Tools-Skills sub-categories, add orphan developer-guide pages (web-search-provider-plugin, browser-supervisor), move features from Integrations back to Features, fold lone spotify into Media & Web. - Regenerate skill stubs + catalogs (kanban-codex-lane, hermes-s6-container- supervision, web-pentest) - Fix broken anchor links (security/cron, configuration/fallback, telegram large-files, adding-platform-adapters step-by-step)
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| title | sidebar_label | description |
|---|---|---|
| Web Pentest | Web Pentest | Authorized web application penetration testing — reconnaissance, vulnerability analysis, proof-based exploitation, and professional reporting |
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
Web Pentest
Authorized web application penetration testing — reconnaissance, vulnerability analysis, proof-based exploitation, and professional reporting. Adapts Shannon's "No Exploit, No Report" methodology with hard guardrails for scope, authorization, and aux-client leakage. Active testing against running applications you own or have written authorization to test.
Skill metadata
| Source | Optional — install with hermes skills install official/security/web-pentest |
| Path | optional-skills/security/web-pentest |
| Platforms | linux, macos |
Reference: full SKILL.md
:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::
Web Application Penetration Testing
A phased pentesting workflow for running web applications. Adapted from Shannon's pipeline (Keygraph, AGPL — concepts only, no code borrowed). Built around three rules:
- No exploit, no report — every finding requires reproducible evidence.
- Bounded scope — every active request goes against a target the operator pre-declared. Off-scope hosts are refused.
- Bypass exhaustion before false-positive dismissal — a "blocked" payload is not a clean bill of health until you've tried the bypass set.
⚠️ Hard Guardrails — Read Before Every Engagement
Violating any of these invalidates the engagement and may be illegal.
-
Authorization gate. Before the first active scan in a session, you MUST confirm with the user, in writing, that they own or have written authorization to test the target. Record the acknowledgement in
engagement/authorization.md(see template). No acknowledgement → no active scanning. Reading public pages withcurlis fine; sending payloads is not. -
Scope allowlist. Maintain
engagement/scope.txt— one hostname or CIDR per line. Everynmap,curl,whatweb, browser navigation, or payload-bearing request MUST be against an entry in scope. If a target redirects you off-scope (3xx to a different host, a link in HTML), STOP and confirm with the user before following. -
No production systems without paper. If the user hasn't told you "yes, prod is in scope and I have written sign-off," assume not. Default targets are staging, local docker, dedicated test instances.
-
Cloud metadata is off by default. Do not probe
169.254.169.254,metadata.google.internal,100.100.100.200,[fd00:ec2::254], or equivalent unless the engagement explicitly includes SSRF-to-metadata as a goal AND the target is one you control. The agent's browser tool can reach these from inside your own infrastructure — don't. -
Destructive payloads need approval. SQLi payloads that DROP/DELETE, filesystem-write SSTI, command injection with
rm/shutdown/mkfs, anything that mutates beyond a single test row → ASK FIRST. Theapproval.pysystem catches some; don't rely on it alone. -
Aux-client leakage risk (Hermes-specific). This skill produces sessions full of SQLi/XSS/RCE payloads, captured credentials, JWT tokens. Hermes' compression and title-generation paths replay history through the auxiliary client (often the main model). Anything sensitive you write to the conversation can leave the box on the next compress. Mitigation:
- Redact captured tokens/credentials to the LAST 6 CHARS before logging
them in any message. Full values go to
engagement/evidence/files, never into chat history. - If the engagement is sensitive, set
auxiliary.title_generation.enabled: falsein~/.hermes/config.yamlfor the session.
- Redact captured tokens/credentials to the LAST 6 CHARS before logging
them in any message. Full values go to
-
Rate limit yourself. Default 200ms between active requests against any single host. The recon-scan.sh script enforces this. Don't bypass it without operator approval.
-
Authority of the report. This skill produces a security assessment, not a "PASS." Even a clean run is "no exploitable issues FOUND in scope X within time T using methods Y" — not "the application is secure." Mirror that language in the report.
Phase 0: Engagement Setup
Before any scanning happens, create the engagement directory and authorization acknowledgement.
ENGAGEMENT=engagement-$(date +%Y%m%d-%H%M%S)
mkdir -p "$ENGAGEMENT"/{evidence,findings,reports}
cd "$ENGAGEMENT"
-
Ask the user (verbatim):
"Confirm: (a) the target URL is [X], (b) you own this application or have written authorization to test it, and (c) the engagement may run for up to [N] hours starting now. Reply 'authorized' to proceed."
-
Wait for explicit
authorizedresponse. Any other answer means STOP. -
Record authorization to
engagement/authorization.mdusing the template intemplates/authorization.md. Include:- Target URL(s) and IP(s)
- Authorization basis (ownership / written authz from $name)
- Engagement window
- Out-of-scope items (production, third-party services, etc.)
- Operator name (the user driving this session)
-
Build scope.txt:
localhost 127.0.0.1 staging.example.com 192.168.1.0/24 # internal lab only, with operator OK -
Read
references/scope-enforcement.mdbefore issuing the first active request — that doc has the host-extraction rules you apply to every command/URL before it goes out.
Phase 1: Pre-Recon (Code Analysis, optional)
Skip if no source access (black-box engagement).
If you have read access to the application source:
- Map the architecture — framework, routing, middleware stack
- Inventory sinks — every
execute(,os.system(,eval(, template render, file read/write, redirect target - Map auth — session cookie vs JWT, OAuth flows, password reset, privileged endpoints
- Identify trust boundaries — what's authenticated, what's not,
what comes from
request.* - Backward taint from each sink to a request source. Early-terminate
when proper sanitization is found (parameterized queries, allowlists,
shlex.quote, well-known escapers).
Output: evidence/pre-recon.md — architecture map, sink inventory,
suspected vulnerable code paths.
This is OFFLINE work. No traffic to the target.
Phase 2: Recon (Live, Read-Only)
Maps the attack surface. All requests are GETs of public pages, no payloads yet. Still scope-bounded.
-
Verify scope. Resolve every target hostname → IP. Confirm IPs are in scope (avoids the "DNS points somewhere unexpected" trap).
-
Network surface (only if scope permits port scanning):
nmap -sT -T3 --top-ports 100 -oN evidence/nmap.txt $TARGETUse
-T3(default), not-T4/-T5. Stealthier and avoids tripping IDS/IPS in shared environments. -
Tech fingerprint:
whatweb -v $TARGET_URL > evidence/whatweb.txt curl -sIk $TARGET_URL > evidence/headers.txt -
Endpoint discovery:
- Crawl the app with the browser tool (
browser_navigate,browser_get_images, follow links). - Inspect
robots.txt,sitemap.xml,.well-known/*. - Use the developer tools network panel via browser tool to capture XHR/fetch calls.
- Crawl the app with the browser tool (
-
Auth surface: Identify login, registration, password reset, session cookie names, token formats. Do NOT send credentials yet — just observe.
-
Correlate with pre-recon (if you have source). For each
evidence/pre-recon.mdfinding, mark whether the live surface confirms it's reachable.
Output: evidence/recon.md — endpoints, technologies, auth model,
input vectors.
Phase 3: Vulnerability Analysis
One delegate_task per vulnerability class. Each agent reads
evidence/recon.md (+ evidence/pre-recon.md if present), produces
findings/<class>-queue.json using templates/exploitation-queue.json.
Use delegate_task with these focused subagents (parallel where possible):
| Class | Goal | Reference |
|---|---|---|
injection |
SQLi, command, path traversal, SSTI, LFI/RFI, deserialization | references/vuln-taxonomy.md (slot types) |
xss |
Reflected, stored, DOM-based | references/vuln-taxonomy.md (render contexts) |
auth |
Login bypass, JWT confusion, session fixation, OAuth flaws | references/exploitation-techniques.md |
authz |
IDOR, vertical/horizontal escalation, business logic | references/exploitation-techniques.md |
ssrf |
Internal reachability, metadata, protocol smuggling | Skip metadata unless explicitly authorized |
infra |
Misconfig, info disclosure, default creds, exposed admin | references/exploitation-techniques.md |
Each queue entry has: id, vuln class, source (file:line if known),
endpoint, parameter, slot type, suspected defense, verdict
(identified / partial / confirmed / critical), witness payload,
confidence (0-1), notes.
The analysis phase doesn't send malicious payloads yet — it stages them. The exploitation phase actually fires them.
Phase 4: Exploitation (Proof-Based, Conditional)
Only run a sub-agent per class where the analysis queue has actionable
entries (identified or partial).
For each candidate:
- Pre-send check — host in scope? auth gate satisfied? payload approved if destructive?
- Send the witness payload — minimal proof. SQLi:
' AND 1=1--then' AND 1=2--. XSS: a benign marker like<svg/onload=console.log("HERMES-PENTEST-XSS")>. Neveralert(1)in stored XSS — it'll fire for other users in shared environments. - Verify the witness fires — for blind injection, use a sleep
probe (
SLEEP(5)) and time the response. For SSRF, use a tester-controlled callback host you own (NOT a public service like webhook.site for sensitive engagements — exfil paths). - Promote level:
- L1 Identified — pattern matched, no behavior change
- L2 Partial — sink reached, but defense in place
- L3 Confirmed — payload changed app behavior in observable way
- L4 Critical — data extracted, code executed, access escalated
- Bypass exhaustion before classifying as FP. For each candidate
that blocks: try at least the bypass set in
references/bypass-techniques.mdfor that class. Only after the set is exhausted may you writeverdict: false_positive. - Record evidence for every L3/L4:
- Full request (method, URL, headers, body)
- Response (status, headers, relevant body excerpt)
- Reproducer command (curl one-liner)
- Impact statement
Output: findings/exploitation-evidence.md
Redact in evidence files:
- Any captured credentials/tokens → last 6 chars only in chat;
full value to
findings/secrets-vault.md(gitignored). - Other users' PII → redact.
- Your test credentials → fine to keep.
Phase 5: Reporting
Generate the final report using templates/pentest-report.md. Sections:
- Executive summary
- Engagement scope (from
engagement/scope.txt) - Authorization (from
engagement/authorization.md) - Findings (L3/L4 only — proof-required). Per finding:
- Title, severity (CVSS 3.1), CWE
- Affected endpoint(s)
- Proof (request + response excerpt)
- Reproduction steps
- Impact
- Remediation
- Not-exploited candidates (L1/L2 with notes on what blocked them)
- Out-of-scope observations
- Methodology / tools used
- Limitations and what was NOT tested
Severity policy: CVSS only for L3/L4. L1/L2 are "candidates pending verification" — don't assign CVSS to unverified findings.
When to Stop
- The user revokes authorization.
- A candidate finding clearly impacts production data and you don't have approval for destructive testing — STOP and ask.
- The target starts returning 503/429 storms — back off, reconvene with the operator.
- You discover something outside the contracted scope (e.g. an exposed customer database while testing an unrelated endpoint). STOP, document, report to the operator. Do not pivot without explicit approval — that pivot is what makes pentesting illegal.
What This Skill Does NOT Cover
- Network-layer pentesting beyond port scanning (no Metasploit, Cobalt Strike, AD attacks, network protocol fuzzing).
- Reverse engineering / binary analysis (see issue #383).
- Source-only static analysis (see issue #382).
- Active social engineering / phishing.
- Anything against systems the operator hasn't pre-authorized.
If the engagement needs any of these, escalate to a professional pentester. This skill complements professional pentesting; it does not replace it.
Further Reading
references/scope-enforcement.md— how to bound every active requestreferences/vuln-taxonomy.md— slot types, render contexts, OWASP mapreferences/exploitation-techniques.md— per-class payload patternsreferences/bypass-techniques.md— common WAF/filter bypassestemplates/authorization.md— engagement authorization templatetemplates/pentest-report.md— final report templatetemplates/exploitation-queue.json— per-class finding queue schemascripts/recon-scan.sh— rate-limited nmap+whatweb+headers wrapper