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VulnerabilityPublished Updated

CVE-2024-21669: hyperledger aries-cloudagent-python · Improper Verification of Cryptographic Signature

Affects hyperledger aries-cloudagent-pythonSource CVE Database V5

0

Not known to be exploited · CVSS 9.9 Critical · fixed in 0.10.5 : patch hyperledger aries-cloudagent-python as a priority.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
9.9Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 50% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.10.5
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Jan 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubhyperledger/aries-cloudagent-pythonpkg:github/hyperledger/aries-cloudagent-pythonOther threatsAffected–Fixed in–

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AI-suggested

European organizations should urgently upgrade all deployments of Hyperledger Aries Cloud Agent Python to version 0.10.5 or later, or to 0.11.0 or later if using release candidates, to incorporate the official fix for this vulnerability. Beyond patching, organizations should implement additional verification layers such as anomaly detection on credential presentations to identify unusual patterns indicative of replay attacks. Employing strict session management and nonce usage can help prevent replay of previously captured presentations. Organizations should also audit their credential issuance and verification logs to detect any suspicious activity. Where possible, integrating hardware security modules (HSMs) or trusted execution environments (TEEs) for cryptographic operations can enhance signature verification robustness. Finally, organizations should review and update their incident response plans to include scenarios involving compromised verifiable credentials and conduct staff training on the risks associated with decentralized identity systems.

Description

Hyperledger Aries Cloud Agent Python (ACA-Py) is a foundation for building decentralized identity applications and services running in non-mobile environments. When verifying W3C Format Verifiable Credentials using JSON-LD with Linked Data Proofs (LDP-VCs), the result of verifying the presentation `document.proof` was not factored into the final `verified` value (`true`/`false`) on the presentation record. The flaw enables holders of W3C Format Verifiable Credentials using JSON-LD with Linked Data Proofs (LDPs) to present incorrectly constructed proofs, and allows malicious verifiers to save and replay a presentation from such holders as their own. This vulnerability has been present since version 0.7.0 and fixed in version 0.10.5.

References

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