Software and Data Integrity Failures Security Check (A08:2025)

SkillDev tools

Detects unsafe deserialization, unverified software updates, and tampered CI

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Software and Data Integrity Failures Security Check (A08:2025) skill

What this skill tells your AI

The instructions your AI receives, as published by thejefflarson/soundcheck in .claude/skills/integrity-failures/SKILL.md and read by ahel’s review.

What this checks

Protects against arbitrary code execution and tampered artifacts. Deserializing untrusted data with code-executing formats gives attackers remote code execution; unsigned software updates allow supply-chain compromise.

Vulnerable patterns

  • Code-executing deserializer (Python pickle/marshal/shelve, Java ObjectInputStream, Ruby Marshal.load, PHP unserialize, .NET BinaryFormatter, unsafe YAML loader) called on attacker-reachable bytes
  • Deserialized object whose fields are read by business logic with no schema validation of names, types, or allowed values
  • Software update, plugin, or CI artifact downloaded and executed without signature or digest verification
  • Trusting reduce/wakeup-style reconstruction hooks invoked on user-controlled serialized blobs
  • Verification key or pinned hash hardcoded as a string literal in source rather than loaded from a trusted external source

Fix immediately

Flag the vulnerable code and explain the risk. Translate the principles below to the audited file's language and serialization library — use that stack's documented safe-loader, schema-validation, and signature-verification APIs.

For each finding, establish these properties:

  1. No code-executing deserializer touches untrusted input. Replace it with a data-only format — JSON, safe-mode YAML, protobuf, CBOR without tags — so parsing alone cannot trigger constructor or callback execution.
  2. Every deserialized object from untrusted input is validated against an explicit schema — field names, types, allowed values — before any field is read by business logic. Applies to JSON, YAML, XML, form bodies, message-queue payloads, and binary formats alike; format doesn't matter.
  3. Artifacts are signature- or digest-verified before trust. Software updates, plugin loads, CI-artifact downloads: check a cryptographic signature against a trusted public key, or a digest against a pinned hash, before executing or loading.
  4. Keys and pinned hashes come from outside the source tree — environment variable, secrets manager, OS keystore, or a build-time constant baked into the binary. A value received as a function parameter with no visible origin does not demonstrate this.

Verification

Confirm these properties hold for every relevant pattern present:

  • No code-executing deserializer (pickle, marshal, shelve, ObjectInputStream.readObject, Marshal.load, unserialize, BinaryFormatter, unsafe yaml.load) receives attacker-reachable bytes. Safe formats (JSON, safe-mode YAML, protobuf) may accept untrusted input if the next criterion is met.
  • Every deserialized object produced from untrusted input is validated against an explicit schema — field names, types, allowed values — before any field reaches business logic
  • For every software-update, plugin-load, or CI-artifact download, the artifact's signature or digest is verified before it is executed, loaded, or written to a trusted path
  • Verification keys and pinned hashes are read from an environment variable, secrets manager, OS keystore, or build-time constant — not hardcoded literals in source, and not opaque function parameters

References

Signals

GitHub stars
20
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
integrity-failures
Source
github.com/thejefflarson/soundcheck