An authenticated stored cross-site scripting (XSS) vulnerability in Feehi CMS v2.1.1 allows attackers to execute arbitrary web scripts or HTML via injecting a crafted payload into the Page Sign parameter.
A weakness has been identified in itsourcecode News Portal Project 1.0. The impacted element is an unknown function of the file /admin/add-category.php. This manipulation of the argument Category causes sql injection. It is possible to initiate the attack remotely. The exploit has been made available to the public and could be used for attacks.
A security flaw has been discovered in itsourcecode News Portal Project 1.0. The affected element is an unknown function of the file /newsportal/admin/edit-category.php. The manipulation of the argument Category results in sql injection. The attack may be performed from remote. The exploit has been released to the public and may be used for attacks.
A vulnerability has been found in itsourcecode Document Management System 1.0. This issue affects some unknown processing of the file /loging.php of the component Login. The manipulation of the argument Username leads to sql injection. Remote exploitation of the attack is possible. The exploit has been disclosed to the public and may be used.
The Master Addons for Elementor Premium plugin for WordPress is vulnerable to Remote Code Execution in all versions up to, and including, 2.1.3 via the 'JLTMA_Widget_Admin::render_preview'. This is due to missing capability check. This makes it possible for authenticated attackers, with Subscriber-level access and above, to execute code on the server.
Craftql v1.3.7 and before is vulnerable to Server-Side Request Forgery (SSRF) which allows an attacker to execute arbitrary code via the vendor/markhuot/craftql/src/Listeners/GetAssetsFieldSchema.php file
An authenticated stored cross-site scripting (XSS) vulnerability in the creation/editing module of Feehi CMS v2.1.1 allows attackers to execute arbitrary web scripts or HTML via injecting a crafted payload into the Content field.
Improper access control in multiple DVLS REST API endpoints in Devolutions Server 2025.3.14.0 and earlier allows an authenticated user with view-only permission to access sensitive connection data.
Improper authorization in the /tequilapi/config/user endpoint of Mysterium Node from v1.21.1-rc0 before v1.36.0 allows an unauthenticated attacker to arbitrarily overwrite the node's configuration and achieve a full node takeover via a crafted POST request.
Improper Enforcement of Behavioral Controls in Devolutions Server 2025.3.15 and earlier allows an authenticated attacker with the delete permission to delete a PAM account that is currently checked out by selecting it alongside at least one non-checked-out account and performing a bulk deletion.
An issue in the Bluetooth RFCOMM service of Parani M10 Motorcycle Intercom v2.1.3 allows unauthorized attackers to cause a Denial of Service (DoS) via supplying crafted RFCOMM frames.
MRCMS 3.1.2 contains an access control vulnerability. The save() method in src/main/java/org/marker/mushroom/controller/UserController.java lacks proper authorization validation, enabling direct addition of super administrator accounts without authentication.
megagao production_ssm v1.0 contains an authorization bypass vulnerability in the user addition functionality. The insert() method in UserController.java lacks authentication checks, allowing unauthenticated attackers to create super administrator accounts by directly accessing the /user/insert endpoint. This leads to complete system compromise.
Mercusys MW302R MW302R(EU)_V1_1.4.10 Build 231023 is vulnerable to Buffer Overflow in the administrative web interface. A stack buffer overflow vulnerability in the administrative web interface allows an authenticated attacker with administrative privileges to trigger a system crash by sending a specially crafted request. The vulnerability results in denial of service through control flow manipulation to an arbitrary instruction address.
Craft CMS 5.9.5 and earlier contains a Missing Authorization vulnerability in the migrate endpoint (/actions/app/migrate).
Cross Site Scripting vulnerability in Altenar Sportsbook Software Platform (SB2) v.2.0 allows a remote attacker to obtain sensitive information and execute arbitrary code via the URL parameter
A null pointer dereference vulnerability exists in the RTSP service of the MERCURY MIPC252W 1.0.5 Build 230306 Rel.79931n. During the processing of a SETUP request for the path rtsp://<IP>:554/stream1/track2, the device fails to properly validate the Transport header field. When this header is improperly constructed, the RTSP service can dereference a NULL pointer during request parsing. Successful exploitation causes the device to crash and automatically reboot.
A command injection vulnerability exists in Tenda AC18 V15.03.05.05_multi. The vulnerability is located in the /goform/SetSambaCfg interface, where improper handling of the guestuser parameter allows attackers to execute arbitrary system commands.
The flash-attention project thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains a code injection vulnerability (CWE-94) in its training script. The script registers the Python eval() function as a Hydra configuration resolver under the name eval. This allows configuration files to execute arbitrary Python code via the ${eval:...} syntax. An attacker can exploit this by providing a malicious configuration file, leading to arbitrary code execution when the training script is
The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling 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 pro
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading component. The framework uses torch.load() to load model weight files (e.g., llm.pt, flow.pt, hift.pt) without enabling 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 providing a malicious model directory containing spec
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its gRPC server component. When the server starts, it loads the speech synthesis model from a user-specified directory using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious model files within a directo
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its average_model.py model averaging tool. The script loads PyTorch checkpoint files (epoch_*.pt) for model averaging using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious checkpoint files within a dir
A Server-Side Request Forgery (SSRF) vulnerability was identified in the @opennextjs/cloudflare package, resulting from a path normalization bypass in the /cdn-cgi/image/ handler.The @opennextjs/cloudflare worker template includes a /cdn-cgi/image/ handler intended for development use only. In production, Cloudflare's edge intercepts /cdn-cgi/image/ requests before they reach the Worker. However, by substituting a backslash for a forward slash (/cdn-cgi\image/ instead of /cdn-cgi/image/), an att
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its make_parquet_list.py data processing tool. The script loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious .pt fil
Docling's METS GBS backend is vulnerable to XML Entity Expansion (XXE) attacks thru 2.61.0. The backend extracts and validates XML files from .tar.gz archives using etree.fromstring() without disabling entity resolution. An attacker can craft a malicious XML file with nested entity definitions (XML Bomb) and package it into a .tar.gz archive. When processed by Docling, the exponential expansion of entities during XML parsing leads to excessive resource consumption, resulting in a denial of servi
Docling's JATS XML backend is vulnerable to XML Entity Expansion (XXE) attacks thru 2.61.0. The backend uses etree.parse() to parse XML files without disabling entity resolution. An attacker can craft a malicious XML file containing a nested entity expansion payload (XML Bomb). When processed by Docling, the exponential expansion of entities leads to excessive resource consumption, resulting in a denial of service (DoS) condition on the system running the Docling parser.
GPT-Pilot thru commit 0819827ce20346ef5f25b3fe29293cb448840565 (2025-09-03) contains a command injection vulnerability (CWE-78) in the Executor.run() method. During project execution, when the system prompts the user to confirm or modify a command to be run, it accepts free-text input without proper validation. The user-supplied input is directly passed to asyncio.create_subprocess_shell() for execution. This allows an attacker to replace the intended command with arbitrary shell commands, leadi
The mem0 1.0.0 server lacks authentication and authorization controls for its memory creation API endpoint (POST /memories). The endpoint allows unauthenticated users to submit arbitrary memory records without verifying their identity or permissions. A remote attacker can exploit this by sending unauthenticated POST requests to create malicious or spoofed memory entries in the database, leading to unauthorized data injection and potential data pollution.
The mem0 1.0.0 server lacks authentication and authorization controls for its memory deletion API endpoint (DELETE /memories/{memory_id}). The endpoint allows unauthenticated users to delete arbitrary memory records without verifying their identity or permissions. A remote attacker can exploit this by sending unauthenticated DELETE requests to remove any memory entry from the database, leading to unauthorized data loss and potential denial of service.
The mem0 1.0.0 server lacks authentication and authorization controls for its memory reset and table re-creation functionality accessible via the DELETE /memories endpoint. An unauthenticated attacker can send a DELETE request that triggers a reset operation, leading to the execution of a CREATE TABLE SQL statement. This can cause unexpected table re-creation, schema disruption, potential data loss, and denial of service for the memory management service.
The mem0 v1.0.0 server lacks authentication and authorization controls for its memory reset functionality accessible via the DELETE /memories endpoint. An unauthenticated attacker can send a DELETE request that triggers a reset operation, leading to the execution of a DROP TABLE SQL statement. This results in the deletion of the entire memory database table, causing catastrophic data loss and a complete denial of service for all users of the service.
The mem0 1.0.0 server lacks authentication and authorization controls for its memory deletion API endpoint (DELETE /memories). The endpoint allows unauthenticated users to delete memory records by specifying arbitrary user identifiers (e.g., user_id, run_id, agent_id) in the request query parameters. A remote attacker can exploit this by sending unauthenticated DELETE requests to erase memory data for any user, leading to unauthorized data loss and denial of service.
The mem0 1.0.0 server lacks authentication and authorization controls for its memory management API endpoints. Critical functions such as updating memory records (PUT /memories/{memory_id}) are exposed without any verification of the requester's identity or permissions. A remote attacker can exploit this by sending unauthenticated requests to modify, overwrite, or delete arbitrary memory records, leading to unauthorized data manipulation and potential data loss.
The Download Monitor plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 5.1.7 via the executePayment() function due to missing validation on a user controlled key. This makes it possible for unauthenticated attackers to complete arbitrary pending orders by exploiting a mismatch between the PayPal transaction token and the local order, allowing theft of paid digital goods by paying a minimal amount for a low-cost item and using that paymen
The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling 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 publishing a malicious model repository on HuggingFace H
The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) in its model serving component. When starting a model server with the ludwig serve command, the framework 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. An attacker can exploit this by providing a maliciously crafted PyTorch model file, leading to
The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) through its predict() method. When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. A remote attacker can exploit this by providing
A flaw was found in the llm CLI tool. An attacker can exploit a code injection vulnerability by crafting a malicious command with arbitrary Python code in the `--functions` argument. If a victim is tricked into running this command, it leads to arbitrary code execution on their system, potentially granting the attacker full control.
The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload.
Horovod thru 0.28.1 contains an insecure deserialization vulnerability (CWE-502) in its KVStore HTTP server component. The KVStore server, used for distributed task coordination, lacks authentication and authorization controls, allowing any remote attacker to write arbitrary data via HTTP PUT requests. When a Horovod worker reads data from the KVStore (via HTTP GET), it deserializes the data using cloudpickle.loads() without verifying its source or integrity. An attacker can exploit this by send
Guardrails AI thru 0.6.7 contains a code injection vulnerability (CWE-94) in its Hub package installation mechanism. When installing validator packages via guardrails hub install, the system retrieves a manifest from the Guardrails Hub and dynamically executes a script specified in the post_install field. The script path is constructed from untrusted manifest data and executed without proper validation or sanitization, allowing remote code execution. An attacker who can publish malicious package
The CosyVoice project thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading process. When loading model files (.pt) from a user-specified directory (via the --model_dir argument), 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 providing a maliciousl
Cognee thru v0.4.0 contains a critical remote code execution vulnerability in its notebook cell execution API endpoint. The endpoint is designed to execute arbitrary Python code provided by the user, but it does so using the unsafe exec() function without any sandboxing, validation, or security controls. An attacker can exploit this by sending a specially crafted POST request containing malicious Python code to the execution endpoint. This leads to arbitrary code execution on the Cognee server w
A flaw was found in Adversarial Robustness Toolbox (ART). This command-line argument injection vulnerability exists in its Kubeflow component due to the unsafe use of the `eval()` function, which parses string values from `--clip_values` and `--input_shape` arguments. A remote attacker can exploit this by injecting arbitrary Python code into these arguments, leading to arbitrary code execution on the system running the ART evaluation.
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 maliciously crafted model f
A flaw was found in the Adversarial Robustness Toolbox (ART), specifically within its Kubeflow component. The robustness evaluation function for PyTorch models uses the `eval()` function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without proper sanitization. A remote attacker can exploit this by providing a specially crafted string containing arbitrary Python code, leading to remote code execution and complete compromise of the system running the ART ev
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 attacker can inject ar
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 exploit this by sub
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, leading to arbitrary co
