Install
$ agentstack add skill-meltedinhex-analyst-ai-pack-analyzing-ransomware-encryption-behavior ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Analyzing Ransomware Encryption Behavior
When to Use
- You need to understand how a ransomware sample encrypts data and whether recovery without
the key is feasible.
- You are documenting file targeting, markers, and the ransom workflow for an IR report.
- You want to identify the crypto primitives to assess decryptability and detection points.
Do not use this to attempt key recovery on production data without backups; analyze in the lab on disposable test files only.
Prerequisites
- Isolated lab with disposable test files of varied types/sizes.
- Static/RE tools (see the Ghidra and crypto-identification skills) and the dynamic-analysis
setup.
- A clean snapshot to revert.
Safety & Handling
- Detonate only against throwaway files in the isolated victim VM; never real data.
- Treat the sample and any dropped components as live; revert after each run.
Workflow
Step 1: Identify the crypto scheme statically
Locate crypto constants and APIs to classify the scheme:
Symmetric only (AES/ChaCha/RC4) -> key may be derivable/recoverable if mishandled
Asymmetric (RSA/ECC) wrapping -> per-file symmetric key wrapped with attacker pubkey
Hybrid (typical) -> AES per file, RSA-wrapped key in the encrypted file/footer
Look for AES S-boxes, ChaCha constants ("expand 32-byte k"), and CryptImportKey/BCrypt*.
Step 2: Trace key generation and handling
Determine where the symmetric key comes from (CSPRNG vs weak source), whether it is stored, and how it is protected. Weak/reused keys or keys left in memory are recovery opportunities.
Step 3: Map file targeting
Identify which directories/extensions are targeted or skipped (allowlist of system paths), size thresholds, and partial-vs-full encryption (many encrypt only the first N bytes/blocks for speed).
Step 4: Capture markers and metadata
Most families append an extension, write a per-file footer/magic marker, and store the wrapped key or IV there. The script fingerprints before/after test files to extract markers.
python scripts/analyst.py compare plain/ encrypted/
Step 5: Document recovery-relevant facts
Note shadow-copy/backup deletion (vssadmin delete shadows), the ransom note, and any cryptographic mistakes that affect decryptability.
Validation
- The identified scheme matches observed file changes (e.g. hybrid → high-entropy body + a
fixed-size footer).
- File markers/extensions are consistent across encrypted test files.
- Shadow-copy deletion and note-drop are confirmed dynamically.
Pitfalls
- Assuming decryptability from the algorithm name; correct AES/RSA usage is not recoverable.
Recovery hinges on implementation flaws or leaked keys.
- Missing partial-encryption schemes, leading to wrong impact assessment.
- Running against real files instead of disposable test data.
References
- See [
references/api-reference.md](references/api-reference.md) for the file-marker
comparison tool.
- No More Ransom and NIST crypto standards (linked in frontmatter).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: meltedinhex
- Source: meltedinhex/analyst-ai-pack
- License: Apache-2.0
- Homepage: https://meltedinhex.com/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.