| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| Elasticsearch does not validate a size value taken from a user-supplied input before that value is used to reserve memory for an internal data structure. An authenticated user holding only read privileges can submit a single small crafted request to a product API endpoint that causes the node to attempt an excessively large allocation. The resulting memory exhaustion raises a fatal error that terminates the Elasticsearch node process, causing a denial of service for the affected node and degrading cluster health. The defect is not volumetric, so a single request is sufficient regardless of the heap size configured on the target node. |
| openssl_encrypt versions before 1.4.0 contain an information disclosure vulnerability in the /ready endpoint that returns full database exception strings to unauthenticated callers. Attackers can trigger database errors to extract sensitive information including hostnames, IP addresses, connection parameters, and potentially credentials from exception messages. |
| 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 sandbox bypass vulnerability where the plugin sandbox fails to restrict alternative file access methods like pathlib.Path and io.open. Attackers can import pathlib or io modules to read and write arbitrary files, completely bypassing the restricted_open file access controls. |
| openssl_encrypt versions before 1.4.0 contain a path traversal vulnerability in the _is_safe_path method where the plugin_id parameter is not sanitized before constructing the plugin config directory path. Attackers can declare a malicious plugin_id containing path traversal sequences like '../' to access arbitrary directories outside the intended plugin directory. |
| 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. |
| Elasticsearch does not apply its configurable input length restriction to a user-supplied pattern accepted by an intervals query. Compiling a deeply nested pattern drives unbounded recursion that exhausts the thread stack and raises a fatal error, terminating the Elasticsearch node process and causing a denial of service for that node. An authenticated user holding only read-only privileges on a single searchable index can trigger the condition with one small search request. |
| 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 versions before 1.4.0 use a non-standard PBKDF2 key derivation construction with iterations=1 per call in an outer loop, creating a KDF whose security properties have not been formally analyzed. Attackers can exploit this weakened key derivation to more efficiently crack passwords protecting legacy encrypted files compared to standard PBKDF2 implementations. |
| 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 versions before 1.4.0 contain hardcoded database credentials in standalone server configuration files. Attackers on the same network can access PostgreSQL databases using well-known default credentials to retrieve sensitive data. |
| openssl_encrypt versions before 1.4.0 contain hardcoded default JWT signing secrets in config.py that pass validation checks. Attackers with access to source code can forge valid JWT tokens for any client_id to gain authenticated access to keyserver and telemetry APIs. |
| 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 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. |
| A flaw in Elasticsearch allows an authenticated user with the privileges required to invoke the simulate pipeline API endpoint (https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ingest-simulate) to submit a request that causes a self-referential data structure to be created. When a specific internal component later processes that structure, the operation recurses without bound and raises a fatal error that is not handled by the surrounding execution path, terminating the affected node process and resulting in a denial of service. |
