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CVE-2026-31230 — Adversarial: The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in
The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values provided via the --clip_values and --input_shape command-line arguments. This allows an attacker to inject arbitrary Python code into these arguments, which will be executed when eval() is called. The vulnerability can be exploited remot CVSSv3.1 9.8 (CRITICAL)
CVE-2026-31229 — Adversarial: The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in
The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by uploading a malicio CVSSv3.1 9.8 (CRITICAL)
CVE-2026-29204 — Insufficient ownership checks in `clientarea.php` allow an authenticated client area user to submit requests
Insufficient ownership checks in `clientarea.php` allow an authenticated client area user to submit requests using another user’s `addonId` without any ownership validation leading to unauthorized access to the victim's resources and their cPanel account. CVSSv3.1 10.0 (CRITICAL)
CVE-2026-26083 — Fortinet: A missing authorization vulnerability in Fortinet FortiSandbox 5.0.0 through 5.0.1, FortiSandbox 4.4.0 through 4.4.8
A missing authorization vulnerability in Fortinet FortiSandbox 5.0.0 through 5.0.1, FortiSandbox 4.4.0 through 4.4.8, FortiSandbox Cloud 5.0.2 through 5.0.5, FortiSandbox PaaS 23.4 all versions, FortiSandbox PaaS 23.3 all versions, FortiSandbox PaaS 23.1 all versions, FortiSandbox PaaS 22.2 all versions, FortiSandbox PaaS 22.1 all versions, FortiSandbox PaaS 21.4 all versions, FortiSandbox PaaS 21.3 all versions, FortiSandbox PaaS 5.0.0 through 5.0.1, FortiSandbox PaaS 4.4.5 CVSSv3.1 9.8 (CRITICAL)
CVE-2025-53844 — A out-of-bounds write vulnerability in Fortinet FortiOS 7.6.0 through 7.6.3, FortiOS 7.4.0 through 7.4.8
A out-of-bounds write vulnerability in Fortinet FortiOS 7.6.0 through 7.6.3, FortiOS 7.4.0 through 7.4.8, FortiOS 7.2.0 through 7.2.11 allows attacker to execute unauthorized code or commands via specially crafted packets. CVSSv3.1 8.8 (HIGH)
CVE-2025-43524 — An access issue was addressed with additional sandbox restrictions.
An access issue was addressed with additional sandbox restrictions. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.2. An app may be able to break out of its sandbox. CVSSv3.1 8.8 (HIGH)
CVE-2026-43993 — JunoClaw: Prior to 0.x.y-security-1, the WAVS bridge's computeDataVerify called fetch() on agent-supplied URLs without validating
JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, the WAVS bridge's computeDataVerify called fetch() on agent-supplied URLs without validating scheme, port, or resolved IP, resulting in an SSRF vulnerability. This vulnerability is fixed in 0.x.y-security-1. CVSSv3.1 8.2 (HIGH)
CVE-2026-43992 — JunoClaw: Prior to 0.x.y-security-1, every MCP write tool (send_tokens, execute_contract, instantiate_contract, upload_wasm, ibc_transfer, etc.) accepted
JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, every MCP write tool (send_tokens, execute_contract, instantiate_contract, upload_wasm, ibc_transfer, etc.) accepted 'mnemonic: string' as an explicit tool-call parameter. The BIP-39 seed was consequently embedded in the LLM tool-call JSON, exposing it to any transport, log, or telemetry surface in the path between the LLM provider and the MCP process. This vulnerability is fixed in 0.x.y-sec CVSSv3.1 9.8 (CRITICAL)
CVE-2026-43991 — JunoClaw: Prior to 0.x.y-security-1, substring-based blocklist in plugin-shell's command-safety check could be bypassed by adversarial
JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, substring-based blocklist in plugin-shell's command-safety check could be bypassed by adversarial argument constructions, allowing unauthorized command execution on the host when combined with the companion advisory. Pre-patch, the check was applied to the raw command string rather than the parsed first token. This vulnerability is fixed in 0.x.y-security-1. CVSSv3.1 8.4 (HIGH)
CVE-2026-43990 — JunoClaw: Prior to 0.x.y-security-1, plugin-shell's run_command wrapped every agent-supplied command in 'sh -c' / 'cmd
JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, plugin-shell's run_command wrapped every agent-supplied command in 'sh -c' / 'cmd /C' and passed the full argument string to the shell's parser, allowing shell metacharacters in agent-supplied arguments to be interpreted as command syntax. This vulnerability is fixed in 0.x.y-security-1. CVSSv3.1 8.4 (HIGH)
CVE-2026-43989 — JunoClaw: Prior to 0.x.y-security-1, the upload_wasm MCP tool accepted a filesystem path from the agent
JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, the upload_wasm MCP tool accepted a filesystem path from the agent and uploaded whatever bytes the path resolved to, with no validation of location, symlink target, file size, or file format. This vulnerability is fixed in 0.x.y-security-1. CVSSv3.1 8.5 (HIGH)
CVE-2025-65719 — Open: An issue in Open Source Kubectl MCP Server v1.1.1 allows attackers to execute arbitrary
An issue in Open Source Kubectl MCP Server v1.1.1 allows attackers to execute arbitrary code on a victim system via user interaction with a crafted HTML page. CVSSv3.1 9.8 (CRITICAL)
CVE-2026-43515 — Authorization: Improper Authorization vulnerability when multiple method constraints define an HTTP method for the same
Improper Authorization vulnerability when multiple method constraints define an HTTP method for the same extension in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109. Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. CVSSv3.1 9.1 (CRITICAL)
CVE-2026-43512 — DEPRECATED: DEPRECATED: Authentication Bypass Issues vulnerability in digest authentication in Apache Tomcat.
DEPRECATED: Authentication Bypass Issues vulnerability in digest authentication in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from before 7.0.0. Older unsupported versions any also be affect Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. CVSSv3.1 9.8 (CRITICAL)
CVE-2026-41293 — Input: Improper Input Validation vulnerability in Apache Tomcat.
Improper Input Validation vulnerability in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 10.0.0-M1 through 10.0.27. Older, end of support versions may also be affected. Users are recommended to upgrade to version [FIXED_VERSION], which fixes the issue. CVSSv3.1 9.8 (CRITICAL)
CVE-2026-34187 — Artica Pandora_fms: Improper Neutralization of Special Elements used in an SQL Command vulnerability allows SQL Injection
Improper Neutralization of Special Elements used in an SQL Command vulnerability allows SQL Injection via graph container parameter. This issue affects Pandora FMS: from 777 through 800 CVSSv3.1 9.8 (CRITICAL)
CVE-2026-31228 — Adversarial: The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a remote code execution vulnerability in
The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval() function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without any sanitization or security restrictions. An attacker can exploit this by providing a specially crafted string that contains arbitrary Python code, which will be executed w CVSSv3.1 9.8 (CRITICAL)
CVE-2026-31226 — TinyZero: The TinyZero project thru commit 6652a63c57fa7e5ccde3fc9c598c7176ff15b839 (2025-58-24) contains a critical command injection vulnerability (CWE-78)
The TinyZero project thru commit 6652a63c57fa7e5ccde3fc9c598c7176ff15b839 (2025-58-24) contains a critical command injection vulnerability (CWE-78) in its HDFS file operation utilities. The vulnerability arises from the unsafe construction and execution of shell commands via os.system() without proper input sanitization or escaping. User-controlled input (such as file paths) is directly interpolated into shell command strings using f-strings within the _copy() function. An at CVSSv3.1 9.8 (CRITICAL)
CVE-2026-31225 — The superduper project thru v0.10.0 contains a critical remote code execution vulnerability in its
The superduper project thru v0.10.0 contains a critical remote code execution vulnerability in its query parsing component. The _parse_op_part() function in query.py uses the unsafe eval() function to dynamically evaluate user-supplied query operands without proper sanitization or restriction. Although the function attempts to limit the execution context by providing a restricted global namespace, it does not block access to dangerous built-in functions. A remote attacker can CVSSv3.1 8.8 (HIGH)
CVE-2026-31224 — Snorkel Snorkel: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load()
The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, lea CVSSv3.1 8.8 (HIGH)
CVE-2026-31223 — Snorkel Snorkel: The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability (CWE-502) in the
The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability (CWE-502) in the BaseLabeler.load() method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load() function on user-supplied file paths without any validation or security controls. Python's pickle module is inherently dangerous for deserializing untrusted data, as it can execute arbitrary code during the deserialization process. A remote atta CVSSv3.1 8.8 (HIGH)
CVE-2026-31222 — Snorkel Snorkel: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load()
The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() method of the Trainer class. The method loads model checkpoint files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary co CVSSv3.1 8.8 (HIGH)
CVE-2026-31220 — PySyft: (Syft Datasite/Server) versions 0.9.5 and earlier are vulnerable to remote code execution due
PySyft (Syft Datasite/Server) versions 0.9.5 and earlier are vulnerable to remote code execution due to insufficient validation and sandboxing of user-submitted code. The system allows low-privileged users to submit Python functions (via @sy.syft_function()) for remote execution on the server. While a code approval mechanism exists, the submitted code undergoes no security checks for dangerous operations (e.g., file access, command execution). Once approved, the code is execu CVSSv3.1 9.8 (CRITICAL)
CVE-2026-31219 — The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f
The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects th CVSSv3.1 8.8 (HIGH)
CVE-2026-31218 — The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f
The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When loading a model state dictionary from a state_dict.pt file via torch.load(), the function does not enable the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit thi CVSSv3.1 8.8 (HIGH)