security-logging-alerting-failures

security-logging-alerting-failures is a skill for Claude Code, Codex from scholarly360/owasp-top10-web-skills. It costs 161 tokens per session (2,322 once invoked), scanned A, original, MIT.

A security-audit guide for logging and alerting in FastAPI and Flask applications. It checks whether security events are recorded safely and whether important events generate alerts for incident response.

In plain words
What is it for?
Use it to review login and access-failure logs, log injection, private data in logs, missing event details, alert thresholds, and SIEM routing.
Why use it?
It helps find missing audit records, forged log entries, sensitive data in logs, and systems that record problems without notifying anyone. These gaps can make attacks harder to detect and investigate.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review login and access-failure logs, log injection, private data in logs, missing event details, alert thresholds, and SIEM routing.

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Install with agentmods
npx agentmods add skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add scholarly360/owasp-top10-web-skills --skill security-logging-alerting-failures
Clone the repo
git clone --depth 1 https://github.com/scholarly360/owasp-top10-web-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for security-logging-alerting-failures

README.md
[![agentmods](https://agentmods.dev/badge/skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures/github.svg)](https://agentmods.dev/skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures)
Your own site
<a href="https://agentmods.dev/skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures"><img src="https://agentmods.dev/badge/skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for security-logging-alerting-failures

Your own site · 80×15
<a href="https://agentmods.dev/skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures"><img src="https://agentmods.dev/badge/skills/scholarly360/owasp-top10-web-skills/security-logging-alerting-failures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 161 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,322 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00161 $0.02322
Opus 5 $0.00081 $0.01161
Sonnet 5 $0.00032 $0.00464
Haiku 4.5 $0.00016 $0.00232

Measured 11d ago against content hash 61e51dcce7a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

security-logging-alerting-failures scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/security-logging-alerting-failures/SKILL.md · 260 lines

How it starts

The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A09:2025 — Security Logging & Alerting Failures

OWASP rank: #9 (community-voted for third consecutive cycle)
Renamed in 2025: Added "Alerting" — logging without alerting provides minimal security value.
Stats: 5 CWEs, 723 CVEs, 3.91% average incidence rate
Coverage CWEs: CWE-778, CWE-117, CWE-532, CWE-223, CWE-390


What This Category Covers

Failure Type Description
Insufficient Logging Auditable events (logins, access control failures, validation errors) not logged
Log Injection User input flows unescaped into log messages — enables log forgery
Sensitive Data in Logs Passwords, tokens, PII, card numbers written to log output
Omission of Security-Relevant Info Errors/warnings logged without context (IP, user, timestamp, action)
No Alerting Logs exist but no thresholds, rules, or platform routes them to incident response

Audit Checklist — FastAPI & Flask

Work through each section systematically. For each item, note: PASS, FAIL, or NOT APPLICABLE.

1. Log Injection (CWE-117)

User-controlled input must never flow raw into log statements.

What to look for:

# VULNERABLE — newline injection, ANSI escape injection
logger.info(f"User logged in: {request.form['username']}")
logger.warning("Failed login for: " + username)

# SAFE — sanitize before logging
import re
safe_username = re.sub(r'[\r\n\x1b]', '_', username)
logger.info("Failed login for: %s", safe_username)

Checklist:

  • No f-strings or + concatenation with raw request data in log calls
  • Newlines (\r, \n) stripped from all user-supplied log values
  • ANSI escape codes (\x1b[) stripped (prevent terminal injection)
  • Structured logging used (JSON format) — field separation prevents injection by design

2. Sensitive Data in Logs (CWE-532)

Secrets must never appear in log output — even at DEBUG level.

Patterns to flag:

# VULNERABLE
logger.debug(f"Auth token: {token}")
logger.info(f"Processing payment for card: {card_number}")
app.logger.debug(request.json)         # May contain password field
print(f"Password reset for {email}, token={reset_token}")

# SAFE
logger.info("Auth token validated for user_id=%s", user_id)
logger.info("Payment processed for user_id=%s, last4=%s", user_id, card_number[-4:])

Read the full file on GitHub · 260 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 260 lines · 161 tokens per session scan A 61e51dcce7a0

Subscribe to this mod's changes

security-logging-alerting-failures is a skill published in the GitHub repository scholarly360/owasp-top10-web-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 161 tokens to every session and 2,322 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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