Base de CVEs

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with pickle.dumps(...) into Redis and the read path blindly invokes pickle.loads(...) on bytes with no HMAC/signature or strict schema validation gating deserialization. If an attacker can poison a shared-cache key in Redis, arbitrary command execution is possible in the backend container context, affecting confidentiality, integrity, and availability. This issue has been fixed in version 0.6.52.

A Remote Code Execution vulnerability in P4 (Helix Core) Server's Command-Line Client, prior to the 2025.2 Patch 2, has been fixed to address potential security risks.

Schlix CMS 2.2.6-6 contains a remote code execution vulnerability that allows authenticated attackers to execute arbitrary PHP code by uploading malicious extension packages through the block manager. Attackers can upload a crafted ZIP file containing PHP code in the packageinfo.inc file and trigger execution by accessing the About tab of the installed extension.

Code injection in SQL code generation in Apache Flink 1.15.0 through 1.20.x and 2.0.0 through 2.x allows authenticated users with query submission privileges to execute arbitrary code on TaskManagers via maliciously crafted SQL queries. The vulnerability affects JSON functions (1.15.0+) and LIKE expressions with ESCAPE clauses (1.17.0+). User-controlled strings are interpolated into generated Java code without proper escaping, allowing attackers to break out of string literals and inject arbitrary expressions. Users are recommended to upgrade to either version 1.20.4, 2.0.2, 2.1.2 or 2.2.1, which fixes this issue.

Improper Control of Generation of Code ('Code Injection') vulnerability in Yordam Information Technology Consulting, Training and Electronic Systems Industry and Trade Inc. Library Automation System allows Remote Code Inclusion. This issue affects Library Automation System: from v.19.5 before v.22.1.

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trust_remote_code=True safeguard when loading pipelines from Hugging Face Hub repositories. The _resolve_custom_pipeline_and_cls function in pipeline_loading_utils.py performs string interpolation on the custom_pipeline parameter using f"{custom_pipeline}.py". When custom_pipeline is not supplied by the user, it defaults to None, which Python interpolates as the literal string "None.py". If an attacker publishes a Hub repository containing a file named None.py with a class that subclasses DiffusionPipeline, the file is automatically downloaded and executed during a standard DiffusionPipeline.from_pretrained() call with no additional keyword arguments. The trust_remote_code check in DiffusionPipeline.download() is bypassed because it evaluates custom_pipeline is not None as False (since the kwarg was never supplied), while the downstream code path that actually loads the module resolves the None value into a valid filename. An attacker can achieve silent arbitrary code execution by publishing a malicious model repository with a None.py file and a standard-looking model_index.json that references a legitimate pipeline class name, requiring only that a victim calls from_pretrained on the repository. This vulnerability is fixed in 0.38.0.

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause — the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained('repoA', custom_pipeline='attacker/repoB', trust_remote_code=False) — the gate evaluated against repoA's file list rather than repoB's, so repoB's pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained('/local/snapshot', custom_pipeline='attacker/repoB', trust_remote_code=False) — the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained('/local/snapshot', trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json — same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0.

CubeCart is an ecommerce software solution. Prior to 6.7.3, an admin with documents edit permission can save raw <?php … ?> into the Invoice Editor. The next time any admin clicks Print on any order, the rendered template is written to files/print.<md5>.php. files/.htaccess ships an explicit <Files print.*.php> allow from all </Files> carve-out, so the file is fetched and executed by any unauthenticated visitor. This vulnerability is fixed in 6.7.3.

A code injection vulnerability in Palo Alto Networks Prisma® Browser on macOS fails to properly restrict access to its AppleScript interface allowing a locally authenticated non-admin user to leverage this exposed Apple Event handler to send unauthorized commands to the browser.