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extracting-encryption-keys-from-binaries

Locates candidate encryption keys in a binary by finding high-entropy fixed-size regions (16/24/32 bytes) near cryptographic constants or crypto API references, and surfacing printable key/passphrase strings. Activates for requests to extract encryption keys, find an AES key in a sample, or recover hardcoded crypto material.

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含まれるファイル(4)

  • SKILL.md2.8 KB
  • LICENSE340 B
  • references/api-reference.md1.3 KB
  • scripts/analyst.py2.5 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Extracting Encryption Keys From Binaries

When to Use

  • You have a sample with hardcoded crypto and want to surface candidate keys/IVs (16/24/32-byte high-entropy blocks) and passphrase strings.
  • You are recovering material to decrypt config, C2 traffic, or ransomware test vectors.

Do not use entropy alone as proof a region is a key — corroborate with proximity to crypto constants/APIs and by attempting decryption. This skill reads the binary statically and executes nothing.

Prerequisites

  • The binary (read inertly). Pairs well with the crypto-constant scanner.

Safety & Handling

  • Read bytes statically; handle recovered keys as sensitive and store securely.

Workflow

Step 1: Find high-entropy key-sized regions

python scripts/analyst.py keys sample.bin

Slides a window of 16/24/32 bytes and reports regions whose entropy exceeds a threshold (likely random key material), with offsets.

Step 2: Surface printable secrets

Extract printable strings that look like passphrases/hex keys (e.g., 32/64-hex, base64 of 16/32 bytes).

Step 3: Corroborate

Rank candidates by proximity to crypto constants/API references and confirm by decrypting a known ciphertext.

Step 4: Document

Record candidate keys, sizes, offsets, and the corroborating evidence.

Validation

  • Candidate regions are exactly key-sized (16/24/32 bytes) and high-entropy.
  • Hex/base64 key strings are length-consistent with a real key size.
  • A candidate is confirmed only by successful decryption, not entropy alone.

Pitfalls

  • Compressed/packed data producing many false high-entropy regions — unpack first.
  • Keys derived at runtime (KDF) not present statically.
  • Endianness/encoding of the key (raw vs hex vs base64) before use.

References

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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