Threat database

Vyper is a Pythonic Smart Contract Language for the Ethereum Virtual Machine. The `concat` built-in can write over the bounds of the memory buffer that was allocated for it and thus overwrite existing valid data. The root cause is that the `build_IR` for `concat` doesn't properly adhere to the API of copy functions (for `>=0.3.2` the `copy_bytes` function). A contract search was performed and no vulnerable contracts were found in production. The buffer overflow can result in the change of semantics of the contract. The overflow is length-dependent and thus it might go unnoticed during contract testing. However, certainly not all usages of concat will result in overwritten valid data as we require it to be in an internal function and close to the return statement where other memory allocations don't occur. This issue has been addressed in 0.4.0.

Ursa is a cryptographic library for use with blockchains. A weakness in the Hyperledger AnonCreds specification that is not mitigated in the Ursa and AnonCreds implementations is that the Issuer does not publish a key correctness proof demonstrating that a generated private key is sufficient to meet the unlinkability guarantees of AnonCreds. The Ursa and AnonCreds CL-Signatures implementations always generate a sufficient private key. A malicious issuer could in theory create a custom CL Signature implementation (derived from the Ursa or AnonCreds CL-Signatures implementations) that uses weakened private keys such that presentations from holders could be shared by verifiers to the issuer who could determine the holder to which the credential was issued. This vulnerability could impact holders of AnonCreds credentials implemented using the CL-signature scheme in the Ursa and AnonCreds implementations of CL Signatures. The ursa project has has moved to end-of-life status and no fix is expected.

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.

CVE-2021-22204 is a high-severity remote code execution vulnerability in ExifTool affecting versions 7.44 and later. The flaw arises from improper neutralization of user data in the DjVu file format, enabling arbitrary code execution when parsing a crafted malicious image. This vulnerability has been exploited in the wild.