format-string-exploitation

format-string-exploitation is a skill for Claude Code, Codex from SecurityTalent/bugskill-ai. It costs 58 tokens per session (3,110 once invoked), scanned A, a copy of format-string-exploitation, MIT.

A guide to exploiting programs that pass user input directly as a formatting pattern to functions such as printf. Special markers in that pattern can disclose memory or sometimes write to memory.

In plain words
What is it for?
It supports security testing of native programs with format-string bugs, including memory leaks, arbitrary writes, and attacks against binaries using protections such as ASLR or stack canaries.
Why use it?
This programming mistake can expose addresses, overwrite important data, or help defeat protections that make other attacks harder. The guide explains how to recognise and use the weakness.

Skill for Claude CodeCodex

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

Good fit It supports security testing of native programs with format-string bugs, including memory leaks, arbitrary writes, and attacks against binaries using protections such as ASLR or stack canaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/securitytalent/bugskill-ai/format-string-exploitation
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 SecurityTalent/bugskill-ai --skill format-string-exploitation
Clone the repo
git clone --depth 1 https://github.com/SecurityTalent/bugskill-ai

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 format-string-exploitation

README.md
[![agentmods](https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/format-string-exploitation/github.svg)](https://agentmods.dev/skills/securitytalent/bugskill-ai/format-string-exploitation)
Your own site
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/format-string-exploitation"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/format-string-exploitation/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 format-string-exploitation

Your own site · 80×15
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/format-string-exploitation"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/format-string-exploitation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,110 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 100% copy Near-identical to another mod 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 $0.00058 $0.03110
Opus 5.5 $0.00023 $0.01244
Sonnet 5.5 $0.00012 $0.00622
Haiku 4.5 $0.00006 $0.00311

Measured 1mo ago against content hash 62893048bdbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

format-string-exploitation 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 1mo 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.

Origin

This is a copy

100% identical to format-string-exploitation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

Awesome-Claude-Code-Agent-Skills/06-Binary-and-Reverse-Engineering/format-string-exploitation/SKILL.md · 313 lines

How it starts

The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: Format String Exploitation — Expert Attack Playbook

AI LOAD INSTRUCTION: Expert format string techniques. Covers stack reading, arbitrary write via %n, GOT overwrite, __malloc_hook overwrite, pointer chain exploitation, blind format string, FORTIFY_SOURCE bypass, 64-bit null byte handling, and pwntools automation. Distilled from ctf-wiki fmtstr, CTF patterns, and real-world scenarios. Base models often miscalculate positional parameter offsets or forget 64-bit address placement after format string.


1. VULNERABILITY IDENTIFICATION

Vulnerable Pattern

printf(user_input);          // VULNERABLE: user controls format string
fprintf(fp, user_input);     // VULNERABLE
sprintf(buf, user_input);    // VULNERABLE
snprintf(buf, sz, user_input); // VULNERABLE

printf("%s", user_input);    // SAFE: format string is fixed

Quick Test

Input: AAAA%p%p%p%p%p%p%p%p
If output shows stack values (hex addresses): format string confirmed
Look for 0x4141414141414141 in output to find your input offset

2. READING MEMORY

Stack Leak (%p)

Format Action Use
%p Print next stack value as pointer Sequential stack dump
%N$p Print N-th parameter as pointer Direct positional access
%N$lx Same as %p but explicit hex (64-bit) Portable
%N$s Dereference N-th parameter as string pointer Read memory at pointer value

Finding Your Input Offset

# Send: AAAAAAAA.%p.%p.%p.%p.%p.%p.%p.%p.%p.%p
# Output: AAAAAAAA.0x7ffd12340000.0x0.(nil).0x7f1234567890.0x4141414141414141...
#                                                           ↑ offset = 6 (example)
# Or automated:
for i in range(1, 30):
    io.sendline(f'AAAA%{i}$p')
    if '0x41414141' in io.recvline():
        print(f'Offset = {i}')
        break

Read the full file on GitHub · 313 lines

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. 1mo ago First seen · 313 lines · 58 tokens per session scan A 62893048bdbf

Subscribe to this mod's changes

format-string-exploitation is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 58 tokens to every session and 3,110 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to format-string-exploitation, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

user-research-cookiy

End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment…

cookiy-ai/user-research-skill · 154 tokens

email-marketing-bible

Email marketing operating manual for AI agents, with hard send-safety gates. Use when someone plans, writes, designs, audits or sends an email campaign, newsletter, welcome series, abandoned-cart, post-purchase or win-back flow; builds a list or segment; drives Klaviyo, Mailchimp, Brevo, Kit or any ESP through MCP, an…

CosmoBlk/email-marketing-bible · 195 tokens

globalpercent

GlobalPercent — build a global-macro-probability panel for an investment research system. Merges public probability data from prediction markets (Polymarket + Kalshi), classifies every market into macro modules (monetary policy / macro economy / AI / etc.), and shows the whole market's expected-probability state at a…

simonlin1212/globalpercent · 134 tokens

ui-ux-design-pro

Senior-level UI/UX design expert for building data-driven, premium production interfaces. Use when you need to: 1. Design complex applications (dashboards, SaaS, AI tools) from scratch 2. Generate comprehensive design systems (tokens, palettes, typography) 3. Audit existing UI for quality, accessibility, and "craft"…

saifyxpro/ui-ux-design-pro-skill · 117 tokens

playwright-best-practices

Use when writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling authentication or OAuth, testing accessibility (axe-core), file uploads/downloads, date/time mocking, WebSockets, geolocation, permissions…

currents-dev/playwright-best-practices-skill · 214 tokens

open-map-stack

Use textual agent instructions for GIS and geospatial work: source discovery and provenance, vector/raster/point-cloud pipelines, CRS and metric analysis, spatial SQL, routing and isochrones, QGIS projects, tile generation, and web maps. Use advanced tools and formats such as OSM, Overture, STAC, Sentinel/Landsat…

jaakla/openmapstack · 173 tokens