| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| UltrafastSecp256k1 is a high-performance, multi-backend secp256k1 engine with reproducible audit evidence, compatibility shims, and profile-based review scopes. Prior to version 4.2.0, UltrafastSecp256k1's ECDSA adaptor pre-signature verification accepts forged adaptor pre-signatures whose "r" value is not cryptographically bound to the adaptor point "T". This issue has been patched in version 4.2.0. |
| n8n versions before 1.123.80, from 2.0.0 before 2.39.6, and from 2.40.0 before 2.40.1 fail to verify the x-webflow-signature HMAC in the Webflow Trigger node webhook handler. Unauthenticated attackers can send forged webhook requests with attacker-controlled payloads to trigger workflows and manipulate downstream actions like record creation or API calls. |
| openssl_encrypt (pip package openssl-encrypt) before 1.4.9 contains two weaknesses in the portable USB drive feature, whose threat model treats the removable drive as untrusted (attacker with physical write access). USBDriveCreator._verify_integrity_file only validates files listed in the manifest, so files added to the drive — including a root-level autorun payload — are not detected and integrity verification still passes. Additionally, a globally constant, source-embedded KDF salt (_LEGACY_FIXED_SALT) is used to derive the drive encryption key for any drive lacking a per-drive salt file, defeating precomputation resistance and enabling an offline rainbow-table attack. |
| openssl_encrypt (pip: openssl-encrypt) versions <= 1.4.8 use suffix-tolerant fingerprint matching in enroll_trust_key when binding a plugin-signing trust anchor. An operator who confirms a short (forgeable, ~32-bit) GPG key id could unknowingly enroll an attacker's colliding key as a trusted anchor, which then vouches for malicious plugins under the ENFORCE signature policy. Version 1.4.9 fixes this by requiring the confirmed value to exactly match the full primary-key fingerprint (case-insensitive, whitespace-stripped). |
| openssl_encrypt versions before 1.4.9 use a denylist to identify trusted built-in plugins, allowing unsigned plugins in top-level plugins/ directories and unknown subdirectories to bypass signature verification. Attackers can place malicious unsigned plugins following documented installation paths to achieve arbitrary code execution in the CLI process with access to passwords and cryptographic keys. |
| openssl_encrypt versions before 1.4.9 contain a signature verification vulnerability in gpg_runner.verify_detached that accepts revoked and expired keys by only checking VALIDSIG status without inspecting REVKEYSIG, EXPKEYSIG, or gpg exit codes. Attackers holding compromised-then-revoked signing keys or expired project keys can bypass signature verification to execute malicious plugins in the host process. |
| openssl_encrypt versions before 1.4.9 fail to authenticate recovery-slot presence in envelope-format encrypted files, allowing attackers to remove recovery slots without re-encrypting the payload. Attackers can modify the file header to delete recovery-slot fields and bypass authentication, silently removing recovery paths the owner deliberately added. |
| openssl_encrypt versions before 1.4.0 contain an authentication bypass vulnerability in pqc.py where AES-GCM decryption failures trigger fallback to unauthenticated AES-CTR mode. Attackers can modify ciphertext in transit to bypass integrity verification and perform bit-flipping attacks without detection. |
| openssl_encrypt versions before 1.4.0 contain a vulnerability in PublicKeyBundle.from_dict() that creates key bundles from untrusted data without verifying signatures. Attackers can call from_dict() followed by to_identity() without signature verification to encrypt data using attacker-controlled public keys, leaking secrets. |
| Authlib (v1.7.2 and below) contains a signature verification bypass vulnerability. The JsonWebSignature.deserialize_json() method accepts a JSON Serialization JWS object and returns the payload as successfully verified without checking for a signature and without requiring a cryptographic key. |
| Tugtainer is a self-hosted app for automating updates of Docker containers. Prior to version 1.31.3, when the OIDC login flow completes, backend/modules/auth/providers/auth_oidc_provider.py decodes the id_token returned by the identity provider's token endpoint using jose.jwt.get_unverified_claims() instead of jwt.decode(). This skips signature verification, audience (aud) validation, issuer (iss) validation, and expiry (exp) checking entirely. The extracted claims (email/sub/preferred_username) are then used directly as the user_id for the resulting Tugtainer session. This issue has been patched in version 1.31.3. |
| NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer where improper verification of cryptographic signatures may cause signature verification to be bypassed under memory pressure. A successful exploit of this vulnerability might lead to denial of service and data tampering. |
| In Anjvision YSSD‑RTMP‑H5 firmware version 3.3.2.4, both the local and cloud update mechanisms apply new firmware without any cryptographic verification, relying only on basic hashing. This design allows an attacker who can reach the update routine to introduce untrusted firmware images that the device will accept as valid. |
| The device's update mechanism includes conditions that allow unauthorized software packages to be accepted as authentic. During the boot process, the stock done function disables signature verification in the OPKG configuration before restoring optional packages from a writable, unsigned feed. Separately, the publicly distributed SDK contains the production private key whose corresponding public key is trusted by both stable and beta firmware builds. Either issue undermines package authenticity, and together they allow an attacker to provide packages that appear valid to the system. Even if signature enforcement is restored, the exposed production key enables an attacker to generate signatures that the device will continue to trust. An attacker who can supply a malicious package may be able to execute arbitrary code with root privileges during installation. |
| Contrast is a Kubernetes runtime for confidential containers. In versions before 1.12.1, the secure persistent volume feature is vulnerable to a malicious host supplying a crafted LUKS2 volume to a pod VM. LUKS2 volume metadata is not authenticated and, with cryptsetup versions prior to 2.8.1, a header specifying the null keyslot encryption algorithm (cipher_null-ecb) is accepted without error. Because the Contrast Initializer assumes a device is protected if `cryptsetup open` succeeds with the secret seed, the guest will open the attacker-supplied volume and write secret data in plaintext, or under a volume key known to the attacker, allowing the host to read confidential data that should have been encrypted. Contrast v1.12.1 ships cryptsetup 2.8.1, which disables null ciphers in keyslots when the passphrase is non-empty; v1.13.0 adds detached-header validation in guest memory and integrity protection for secure persistent storage. Contrast persistent volumes were not integrity protected, so integrity impact is not considered. |
| Improper Verification of Cryptographic Signature and Improper Certificate Validation in the OPC UA driver of Apache PLC4X (PLC4J) allows an attacker in a network position between client and server to impersonate the OPC UA server and to read, forge or modify secure-channel traffic, including user credential ssent by the client.
The defect manifests differently depending on the version:
- In 0.9.0 through 0.11.0 a failed message-signature check is only logged and never enforced, and there is no mechanism to verify the server certificate: it is taken from the unauthenticated GetEndpoints discovery response and used to encrypt the user's password.
- In 0.12.0 through 0.13.1 the signature check is inverted (valid signatures are rejected, invalid ones accepted), and server certificates are accepted without a trust anchor by default.
- In all affected versions the default security policy is None. Starting with 0.12.0 the driver additionally continues silently at a weaker security policy than the one configured, and starting with 0.13.0 endpoint selection prefers the weakest matching endpoint.
Users checking only for one of these mechanisms may wrongly conclude they are unaffected.
This issue affects Apache PLC4X: from 0.9.0 before 1.0.0.
Users are recommended to upgrade to version 1.0.0, which fixes the issue. Version 1.0.0 verifies message signatures correctly, refuses to connect unless the server certificate can be verified against a configured trust store or pinned certificate, defaults to Basic256Sha256 with SignAndEncrypt, and fails the
connection if the negotiated security policy is weaker than the configured one. |
| PyJWT is a Python implementation of JSON Web Token standards. From 2.13.0 until 2.14.0, HMACAlgorithm.from_jwk is affected because PyJWK verification path used the decoded key without applying prepare_key validation. This occurs when a trusted JWK Set contains an oct entry with an empty k value. As a result, an attacker signs an HMAC token with the same zero-length key accepted by PyJWT. Consequently, forged token can carry arbitrary authenticated claims. This issue is fixed in version 2.14.0. |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, when Zammad checks the digital signature on an incoming S/MIME-signed email, it does not verify that the signing certificate is genuinely trusted, it only checks whether a certificate with a matching name is already stored in the system. An attacker can create their own certificate using the name of a real, previously trusted sender and use it to send a forged email. Zammad will display that email with the same "validly signed" indicator as a genuine message from the real sender, even though the attacker never had access to that sender's actual certificate or private key. This issue is fixed in version 7.1.2. |
| PyJWT is a Python implementation of JSON Web Token standards. Prior to 2.14.0, is_pem_format in jwt/utils.py is affected because is_pem_format does not recognize every PEM representation accepted by the cryptography loader. This occurs when an application mixes HMAC and asymmetric algorithms and supplies a mutated public-key PEM as raw key bytes. As a result, HMACAlgorithm.prepare_key treats the unrecognized asymmetric public key as an HMAC secret. Consequently, an attacker who knows the public key can forge authenticated HMAC tokens. This issue is fixed in version 2.14.0. |
| The VeloCloud Edge software update workflow may accept update bundles without properly validating their signatures because the workflow does not restrict the digest algorithm used for artifact verification. An attacker with either sufficient privileges to upload packages to VeloCloud Orchestrator or credentials permitting direct access to an Edge may be able to install unauthorized software. |
