ctf-misc

ljagiello/ctf-skills · updated Apr 8, 2026

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$npx skills add https://github.com/ljagiello/ctf-skills --skill ctf-misc
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summary

Miscellaneous CTF techniques covering encoding, signal processing, sandbox escape, and system exploitation.

  • Covers 20+ technique categories including Python/Bash jail escape, RF/SDR signal processing, DNS exploitation, Unicode steganography, QR codes, Z3 constraint solving, and WASM patching
  • Includes quick-reference commands for common encodings (Base64, Base32, Hex, ROT13), IEEE-754 float data hiding, and cipher identification workflows
  • Provides Linux privilege escalation techniques
skill.md

CTF Miscellaneous

Quick reference for miscellaneous CTF challenges. Each technique has a one-liner here; see supporting files for full details.

Prerequisites

Python packages (all platforms):

pip install z3-solver pwntools Pillow numpy requests dnslib

Linux (apt):

apt install ffmpeg qrencode

macOS (Homebrew):

brew install ffmpeg qrencode

Manual install:

  • SageMath — Linux: apt install sagemath, macOS: brew install --cask sage

Additional Resources

  • pyjails.md - Python jail/sandbox escape techniques, quine context detection, restricted character repunit decomposition, func_globals module chain traversal, restricted charset number generation, class attribute persistence, f-string config injection via stored eval
  • bashjails.md - Bash jail/restricted shell escape techniques, HISTFILE file read trick, bash -v verbose mode, ctypes.sh direct C library calls
  • encodings.md - Encodings, QR codes, esolangs, UTF-16 tricks, BCD encoding, multi-layer auto-decoding, indexed directory QR reassembly, multi-stage URL encoding chains
  • encodings-advanced.md - Verilog/HDL, Gray code cyclic encoding, RTF custom tag extraction, SMS PDU decoding, multi-encoding sequential solvers, UTF-9, pixel binary encoding, hexadecimal Sudoku + QR assembly, TOPKEK, MaxiCode
  • rf-sdr.md - RF/SDR/IQ signal processing (QAM-16, carrier recovery, timing sync)
  • dns.md - DNS exploitation (ECS spoofing, NSEC walking, IXFR, rebinding, tunneling)
  • games-and-vms.md - WASM patching, Roblox place file reversing, PyInstaller, marshal analysis, Python env RCE, Z3 (including boolean logic gate network SAT solving), K8s RBAC, floating-point precision exploitation, custom assembly language sandbox escape via Python MRO chain
  • games-and-vms-2.md - Cookie checkpoint game brute-forcing, Flask cookie game state leakage, WebSocket game manipulation, server time-only validation bypass, De Bruijn sequence, Brainfuck instrumentation, WASM linear memory manipulation
  • games-and-vms-3.md - memfd_create packed binaries, multi-phase crypto games with HMAC commitment-reveal and GF(256) Nim, emulator ROM-switching state preservation, Python marshal code injection, Benford's Law bypass, parallel connection oracle relay, nonogram solver pipelines, 100 prisoners problem, C code jail escape via emoji identifiers, BuildKit daemon build secret exploitation, Docker container escape, Levenshtein distance oracle attack, taint analysis bypass via type coercion, shredded document pixel-edge reassembly
  • linux-privesc.md - Sudo wildcard parameter injection (fnmatch), crafted pcap for sudoers.d, monit confcheck process injection, Apache -d override, backup cronjob SUID, PostgreSQL COPY TO PROGRAM RCE, PostgreSQL backup credential extraction, NFS share exploitation, SSH Unix socket tunneling, PaperCut Print Deploy privesc, Squid proxy pivoting, Zabbix admin password reset via MySQL, WinSSHTerm credential decryption
  • ctfd-navigation.md - CTFd platform API navigation without browser: detection, token auth, challenge listing, file download, flag submission, scoreboard, hints, notifications, Python client class

When to Pivot

  • If the puzzle is actually centered on cryptography or number theory, switch to /ctf-crypto.
  • If the challenge is a real binary exploit instead of a jail, toy VM, or encoding problem, switch to /ctf-pwn or /ctf-reverse.
  • If the input is mostly files, images, audio, or packet captures that need recovery work first, switch to /ctf-forensics.
  • For ML/AI techniques (model attacks, adversarial examples, LLM jailbreaking), see /ctf-ai-ml.

Quick Start Commands

# File identification
file mystery_file
xxd mystery_file | head -5
python3 -c "import magic; print(magic.from_file('mystery_file'))"

# Encoding detection
python3 -c "import base64; print(base64.b64decode('<data>'))"
echo '<data>' | base64 -d
echo '<hex>' | xxd -r -p

# QR code
zbarimg qr.png
python3 -c "from pyzbar.pyzbar import decode; from PIL import Image; print(decode(Image.open('qr.png')))"

# Z3 constraint solving
python3 -c "from z3 import *; x=BitVec('x',32); s=Solver(); s.add(x^0xdead==0xbeef); s.check(); print(s.model())"

# Python jail test
python3 -c "__import__('os').system('id')"

General Tips

  • Read all provided files carefully
  • Check file metadata, hidden content, encoding
  • Power Automate scripts may hide API calls
  • Use binary search when guessing multiple answers

Common Encodings

# Base64
echo "encoded" | base64 -d

# Base32 (A-Z2-7=)
echo "OBUWG32D..." | base32 -d

# Hex
echo "68656c6c6f" | xxd -r -p

# ROT13
echo "uryyb" | tr 'a-zA-Z' 'n-za-mN-ZA-M'

Identify by charset:

  • Base64: A-Za-z0-9+/=
  • Base32: A-Z2-7= (no lowercase)
  • Hex: 0-9a-fA-F

See encodings.md for Caesar brute force, URL encoding, and full details.

IEEE-754 Float Encoding (Data Hiding)

Pattern (Floating): Numbers are float32 values hiding raw bytes.

Key insight: A 32-bit float is just 4 bytes interpreted as a number. Reinterpret as raw bytes -> ASCII.

import struct
floats = [1.234e5, -3.456e-7, ...]  # Whatever the challenge gives
flag = b''
for f in floats:
    flag += struct.pack('>f', f)
print(flag.decode())

Variations: Double '>d', little-endian '<f', mixed. See encodings.md for CyberChef recipe.

USB Mouse PCAP Reconstruction

Pattern (Hunt and Peck): USB HID mouse traffic captures on-screen keyboard typing. Use USB-Mouse-Pcap-Visualizer, extract click coordinates (falling edges), cumsum relative deltas for absolute positions, overlay on OSK image.

File Type Detection

file unknown_file
xxd unknown_file | head
binwalk unknown_file

Archive Extraction

7z x archive.7z           # Universal
tar -xzf archive.tar.gz   # Gzip
tar -xjf archive.tar.bz2  # Bzip2
tar -xJf archive.tar.xz   # XZ

Nested Archive Script

while f=$(ls *.tar* *.gz *.bz2 *.xz *.zip *.7z 2>/dev/null|head -1) && [ -n "$f" ]; do
    7z x -y "$f" && rm "$f"
done

QR Codes

zbarimg qrcode.png       # Decode
qrencode -o out.png "data"

MaxiCode barcode: Hexagonal 2D barcode with bullseye center; decode with zxing (Java) since standard QR decoders fail. See encodings-advanced.md.

TOPKEK encoding: CTF-specific binary encoding where KEK=0, TOP=1, ! suffix = repeat count. See encodings-advanced.md.

See encodings.md for QR structure, repair techniques, chunk reassembly (structural and indexed-directory variants), and multi-stage URL encoding chains.

Audio Challenges

sox audio.wav -n spectrogram  # Visual data
qsstv                          # SSTV decoder

RF / SDR / IQ Signal Processing

See rf-sdr.md for full details (IQ formats, QAM-16 demod, carrier/timing recovery).

Quick reference:

  • cf32: np.fromfile(path, dtype=np.complex64) | cs16: int16 reshape(-1,2) | cu8: RTL-SDR raw
  • Circles in constellation = constant frequency offset; Spirals = drifting frequency + gain instability
  • 4-fold ambiguity in DD carrier recovery - try 0/90/180/270 rotation

pwntools Interaction

from pwn import *

r = remote('host', port)
r.recvuntil(b'prompt: ')
r.sendline(b'answer')
r.interactive()

Python Jail Quick Reference

  • Oracle pattern: L() = length, Q(i,x) = compare, S(guess) = submit. Linear or binary search.
  • Walrus bypass: (abcdef := "new_chars") reassigns constraint vars
  • Decorator bypass: @__import__ + @func.__class__.__dict__[__name__.__name__].__get__ for no-call, no-quotes escape
  • String join: open(''.join(['fl','ag.txt'])).read() when + is blocked

See pyjails.md for full techniques.

Z3 / Constraint Solving

from z3 import *
flag = [BitVec(f'f{i}', 8) for i in range(FLAG_LEN)]
s = Solver()
# Add constraints, check sat, extract model

See games-and-vms.md for YARA rules, type systems as constraints, boolean logic gate network SAT solving.

Hash Identification

MD5: 0x67452301 | SHA-256: 0x6a09e667 | MurmurHash64A: 0xC6A4A7935BD1E995

SHA-256 Length Extension Attack

MAC = SHA-256(SECRET || msg) with known msg/hash -> forge valid MAC via hlextend. Vulnerable: SHA-256, MD5, SHA-1. NOT: HMAC, SHA-3.

import hlextend
sha = hlextend.new('sha256')
new_data = sha.extend(b'extension', b'original_message', len_secret, known_hash_hex)

Technique Quick References

  • PyInstaller: pyinstxtractor.py packed.exe. See games-and-vms.md for opcode remapping.
  • Marshal: marshal.load(f) then dis.dis(code). See games-and-vms.md.
  • Python env RCE: PYTHONWARNINGS=ignore::antigravity.Foo::0 + BROWSER="cmd". See games-and-vms.md.
  • WASM patching: wasm2wat -> flip minimax -> wat2wasm. See games-and-vms.md.
  • Float precision: Large multipliers amplify FP errors into exploitable fractions. See games-and-vms.md.
  • K8s RBAC bypass: SA token -> impersonate -> hostPath mount -> read secrets. See
1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/ljagiello/ctf-skills --skill ctf-misc

The skills CLI fetches ctf-misc from GitHub repository ljagiello/ctf-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ctf-misc

Reload or restart Cursor to activate ctf-misc. Access the skill through slash commands (e.g., /ctf-misc) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.874 reviews
  • Noor Brown· Dec 20, 2024

    ctf-misc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kaira Bhatia· Dec 16, 2024

    ctf-misc fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diya Gill· Dec 12, 2024

    Registry listing for ctf-misc matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Dec 8, 2024

    We added ctf-misc from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Isabella White· Dec 8, 2024

    ctf-misc reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hassan Torres· Dec 4, 2024

    ctf-misc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Yash Thakker· Nov 27, 2024

    ctf-misc fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aditi Abbas· Nov 27, 2024

    ctf-misc has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Layla Menon· Nov 23, 2024

    Solid pick for teams standardizing on skills: ctf-misc is focused, and the summary matches what you get after install.

  • Diya Gupta· Nov 19, 2024

    Keeps context tight: ctf-misc is the kind of skill you can hand to a new teammate without a long onboarding doc.

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