| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| myVesta is affected by an authenticated remote code execution vulnerability. Low privileged users can insert arbitrary commands as a part of the v_ftp_user parameter when deleting FTP usernames. This could result in the execution of commands as the admin user or takevoer of the admin user in myVesta. |
| Trail of Bits fickling versions up to and including 0.1.10 do not include the Python standard library modules _posixsubprocess, site, and atexit in the UNSAFE_IMPORTS denylist (fickle.py). Because these modules are absent from the denylist, fickling's check_safety() function returns LIKELY_SAFE with zero findings for pickle payloads that invoke dangerous functions including _posixsubprocess.fork_exec (C-level process spawner capable of executing arbitrary binaries), site.execsitecustomize (executes arbitrary site customization code), and atexit._run_exitfuncs (triggers all registered exit handler callbacks). The fickling.load() API chains check_safety() into pickle.loads() as an explicit security gate; a LIKELY_SAFE verdict causes the payload to be deserialized and executed. This shares the same root cause as CVE-2026-22607 (cProfile), CVE-2025-67748 (pty), and CVE-2025-67747 (marshal/types). OvertlyBadEvals does not flag these modules because they are standard library imports. UnsafeImports does not flag them because they are not in the denylist. The UnusedVariables heuristic is defeated by the SETITEMS opcode pattern. |
| In Trail of Bits fickling versions up to and including 0.1.11, the UnsafeImportsML analysis pass unconditionally calls AnalysisContext.shorten_code(node) on every import node it inspects, regardless of whether the import is flagged as unsafe. This call registers the shortened code representation in the shared AnalysisContext.reported_shortened_code set. When the MLAllowlist analysis pass subsequently runs, it calls the same shorten_code() method, receives already_reported=True for every import, and executes a continue statement that skips its allowlist check entirely. This renders MLAllowlist dead code for all imports — it never evaluates whether an import is in the ML allowlist or not. The MLAllowlist pass was designed to catch imports of modules outside the known-safe ML ecosystem (torch, numpy, transformers, etc.) that slip past the UnsafeImports denylist. With MLAllowlist inoperative, any standard library module not in the UNSAFE_IMPORTS denylist can be invoked via pickle deserialization while fickling's check_safety() returns LIKELY_SAFE. The fickling.load() API chains check_safety() into pickle.loads() as an explicit security gate, meaning a LIKELY_SAFE verdict causes the payload to be deserialized and executed. The root cause is shared mutable state between independently-correct analysis passes — UnsafeImportsML works as designed in isolation, MLAllowlist works as designed in isolation, but the shared reported_shortened_code set causes UnsafeImportsML to poison MLAllowlist's deduplication logic. |
| Lack of escaping leads to XSS vulnerabilities in modalreturn layouts of various components. |
| Lack of escaping leads to an XSS vulnerability in the generic image output layout. |
| An improper access check allows user to download vcard exports of com_contact contacts that are inaccessible. |
| Lack of validation leads to an XSS vulnerability in the MFA management views. |
| Improper validation leads to a generic XSS vector in the language override feature. |
| An improper access check allows unauthorized users to access workflow stage and transition information. |
| Lack of escaping leads to an XSS vulnerability in the file management view of com_templates. |
| An improper access check allows unauthorized users to access com_privacy datasets. |
| An improper access check allows unauthorized users to create custom fields via webservices endpoints. |
| An improper access check allows users to display a list of modules in the frontend. |
| A flaw was found in Red Hat Advanced Cluster Security for Kubernetes (RHACS). Central does not limit the depth of GraphQL queries served on the authenticated GraphQL API. An authenticated user with a valid API token can send deeply nested queries that cause excessive resource consumption in Central, resulting in a denial of service for the management plane. |
| An improper access check allows privileged users to overwrite media files without editing permissions. |
| Lack of escaping leads to an XSS vulnerability in the update list view of com_installer. |
| A vulnerability was determined in langchain-ai langgraph up to 1.2.4. The affected element is the function _freeze of the file libs/langgraph/langgraph/_internal/_cache.py of the component Task Result Cache. This manipulation of the argument default_cache_key causes use of weak hash. The attack is possible to be carried out remotely. The complexity of an attack is rather high. The exploitability is described as difficult. The exploit has been publicly disclosed and may be utilized. The pull request to fix this issue awaits acceptance. |
| In wpa_supplicant and hostapd 2.9, forging attacks may occur because AlgorithmIdentifier parameters are mishandled in tls/pkcs1.c and tls/x509v3.c. |
| A flaw was found in gnutls. A remote attacker could exploit an issue in the Datagram Transport Layer Security (DTLS) packet reordering logic. The comparator function, responsible for ordering DTLS packets by sequence numbers, did not correctly handle packets with duplicate sequence numbers. This could lead to unstable packet ordering or undefined behavior, resulting in a denial of service. |
| A flaw was found in gnutls. Servers configured with RSA-PSK (Rivest–Shamir–Adleman – Pre-Shared Key) wrongfully matched usernames containing a NUL character with truncated usernames. A remote attacker could exploit this by sending a specially crafted username, leading to an authentication bypass. This vulnerability allows an attacker to gain unauthorized access by circumventing the authentication process. |
