| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| openssl_encrypt versions before 1.4.0 contain an arbitrary code execution vulnerability in the Whirlpool hash implementation that uses broad glob patterns to load .so modules without integrity verification. Attackers can place malicious .so files matching the whirlpool*py313*.so pattern in site-packages directories to achieve native code execution when the module is loaded. |
| openssl_encrypt versions before 1.4.0 silently skip JSON schema validation when the jsonschema library is not installed, allowing malformed metadata to be accepted. Attackers can remove the jsonschema package or supply unknown metadata format versions to bypass all schema checks and process malicious data. |
| 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. |
| openssl_encrypt versions before 1.4.0 use an in-memory rate limiter for TOTP brute-force protection that is not shared across workers and is lost on server restart. Attackers can distribute authentication attempts across multiple server instances or retry immediately after a restart to bypass rate limiting protections. |
| openssl_encrypt versions before 1.4.0 accept refresh tokens as URL query parameters in keyserver and telemetry server routes. Attackers can extract tokens from server logs, proxy logs, browser history, and HTTP Referer headers to gain unauthorized access. |
| openssl_encrypt versions before 1.4.0 contain a logging bug in restore_hidden_modules() that logs module counts after clearing, always showing zero restored modules and corrupting audit trails. Additionally, a race condition exists between module hiding and import hook installation where another thread could re-import blocked modules in multi-threaded environments. |
| openssl_encrypt versions before 1.4.0 contain a plugin sandbox bypass vulnerability where the PluginImportGuard blocks a different set of modules than the AST analyzer's DANGEROUS_MODULES set. Attackers can bypass AST analysis through string obfuscation or encoding to import unblocked dangerous modules like sys, shutil, multiprocessing, importlib, and pickle for arbitrary code execution. |
| openssl_encrypt before 1.4.0 imports Python's non-cryptographic 'random' module (Mersenne Twister PRNG) at line 15 of openssl_encrypt/modules/pqc.py. No direct calls to random.* were present in the code, so no cryptographic operation is currently affected; however, the import creates a hazard that future code could inadvertently use random.randint() instead of a cryptographically secure alternative (secrets/os.urandom), producing predictable values since the Mersenne Twister state can be recovered from approximately 624 outputs. Fixed by removing the import in 1.4.0. |
| openssl_encrypt versions before 1.4.0 use HKDF with no salt and static info parameter in key normalization functions, reducing entropy extraction and determinism. Attackers can exploit predictable key derivation with identical inputs to weaken cryptographic security against multi-target attacks. |
| openssl_encrypt versions before 1.4.0 contain an authentication bypass vulnerability in CamelliaCipher that disables HMAC tag generation and verification when the PYTEST_CURRENT_TEST environment variable is set. Attackers with code execution can set this environment variable to produce unauthenticated ciphertext and bypass integrity protection on encrypted data. |
| openssl_encrypt before 1.4.0 contains an authentication bypass vulnerability in the verify_api_token function that accepts any non-empty Bearer token string without validation. Attackers can upload arbitrary public keys, enumerate all keys, and revoke keys belonging to any user by providing any Bearer token in the Authorization header. |
| openssl_encrypt versions before 1.4.0 fail to apply sandbox restrictions in the default process isolation mode for plugin execution. Attackers can execute malicious plugins with unrestricted access to the filesystem, network, subprocess execution, and all Python modules. |
| openssl_encrypt versions before 1.4.0 contain a sandbox escape vulnerability in the DangerousPatternVisitor AST analyzer that fails to detect dunder attribute traversal techniques. Attackers can use __class__, __bases__, __subclasses__(), and __globals__ chains to access restricted functions and execute arbitrary system commands from plugin code. |
| openssl_encrypt versions before 1.4.0 contain a sandbox escape vulnerability in IsolatedPluginExecutor that exposes Python type objects in restricted exec() builtins. Attackers can traverse the Python class hierarchy via __class__.__mro__.__subclasses__() to access system functions and execute arbitrary OS commands. |
| openssl_encrypt versions before 1.4.0 contain a critical vulnerability in pqc.py where KEM decapsulation failures silently fall back to simulation mode, generating a deterministic shared secret from only 16 bytes of the private key and publicly available encapsulated key data. Attackers who obtain 16 bytes of the private key can compute the shared secret and decrypt all ciphertext, as the fallback triggers on any KEM failure without raising an error. |
| 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. |
| OpnForm derives editable-submission secrets from sequential row identifiers using Hashids with an empty default salt, allowing unauthenticated attackers to compute hashes for any submission. Attackers can read other respondents' full submission data through the submission-fetch endpoint or overwrite submissions by supplying predicted hashes to the answer endpoint. |
| MemOS is a memory operating system for LLMs and AI agents. In deployments where authentication is enabled (AUTH_ENABLED=true) but the undocumented, defaultless INTERNAL_SERVICE_SECRET environment variable is unset, the is_internal_request() check in src/memos/api/middleware/auth.py fails open: os.getenv("INTERNAL_SERVICE_SECRET") returns None and a request omitting the X-Internal-Service header also yields None, so the comparison None == None evaluates true. The request is then treated as a trusted internal principal and granted scopes: ["all"]. As a result, an unauthenticated remote attacker can reach the admin API-key management endpoints to mint API keys for any user, enumerate keys, revoke keys, and generate a master key for persistent privileged access, as well as all data endpoints. |
| SpiderFoot fails to HTML-escape correlation titles built from external scan data sources including server banners and metadata. Attackers can inject malicious HTML elements with event handlers into correlation results that execute scripts in the operator's browser when the correlations view is opened, potentially stealing API keys. |
| Missing authentication in initial setup functionality left exposed after initial setup is completed in GBIF Integrated Publishing Toolkit versions before 3.3.4 allows remote authenticated attackers to gain administrative control via authentication bypass |
