CVEs

A tampering vulnerability exists when .NET Core improperly handles specially crafted files. An attacker who successfully exploited this vulnerability could write arbitrary files and directories to certain locations on a vulnerable system. However, an attacker would have limited control over the destination of the files and directories. To exploit the vulnerability, an attacker must send a specially crafted file to a vulnerable system. The security update fixes the vulnerability by ensuring .NET Core properly handles files.

Double free in Windows Rich Text Edit Control allows an authorized attacker to elevate privileges locally.

Concurrent execution using shared resource with improper synchronization ('race condition') in Windows Native WiFi Miniport Driver allows an unauthorized attacker to execute code over an adjacent network.

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 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 Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process.

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 arbitrary code execution on the system hosting the Ludwig model server.

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 maliciously crafted pickle file, leading to arbitrary code execution on the system running the Ludwig prediction.

The llm CLI tool thru 0.27.1 contains a critical code injection vulnerability via its --functions command-line argument. This argument is intended to allow users to provide custom Python function definitions. However, the tool directly executes the provided code using the unsafe exec() function without any sanitization, sandboxing, or security restrictions. An attacker can exploit this by crafting a malicious llm command with arbitrary Python code in the --functions argument and using social engineering to trick a victim into running it. This leads to arbitrary code execution on the victim's 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. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario.

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 sending a malicious pickle payload to the server before the legitimate data is written, causing the victim worker to deserialize and execute arbitrary code, leading to remote code execution.

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 packages to the Hub can inject arbitrary code that will be executed on any system where a victim installs the 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 maliciously crafted model directory containing .pt files with embedded pickle payloads. When a victim loads this directory using CosyVoice's web interface, the malicious payload is executed, leading to remote code execution on the victim's system.

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 with the privileges of the server process, allowing complete compromise of the system.

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 remotely if an attacker can control these arguments (e.g., through pipeline configuration or automated scripts), 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 file to an object storage location referenced by the pipeline, or by controlling the model_id parameter to point to such a file. When the pipeline loads the model, the malicious payload is executed, leading to remote code execution.

Insufficient ownership check in `clientarea.php` allows 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 account.

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 through 4.4.8 may allow an unauthenticated attacker to execute unauthorized code or commands via HTTP requests.

An improper neutralization of argument delimiters in a command ('argument injection') vulnerability in Fortinet FortiDeceptor 6.0.0 through 6.0.2, FortiDeceptor 5.3.0 through 5.3.3, FortiDeceptor 5.2.0 through 5.2.1, FortiDeceptor 5.1 all versions, FortiDeceptor 5.0 all versions may allow an authenticated attacker with at least read-only admin permission to read log files via HTTP crafted requests.

An improper neutralization of special elements used in an sql command ('sql injection') vulnerability in Fortinet FortiNDR 7.6.0 through 7.6.2, FortiNDR 7.4.0 through 7.4.9, FortiNDR 7.2 all versions, FortiNDR 7.1 all versions, FortiNDR 7.0 all versions may allow an authenticated attacker to execute unauthorized code or commands via specifically crafted HTTP requests.

Double free in Windows Rich Text Edit allows an authorized attacker to elevate privileges locally.

Improper input validation for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

Out-of-bounds write for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow a escalation of privilege. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

A use of potentially dangerous function vulnerability in Fortinet FortiAnalyzer 7.6.0 through 7.6.4, FortiAnalyzer 7.4.0 through 7.4.8, FortiAnalyzer 7.2 all versions, FortiAnalyzer 7.0 all versions, FortiAnalyzer 6.4 all versions, FortiManager 7.6.0 through 7.6.4, FortiManager 7.4.0 through 7.4.8, FortiManager 7.2 all versions, FortiManager 7.0 all versions, FortiManager 6.4 all versions may allow an authenticated attacker to cause a system hang via multiple specially crafted HTTP requests causing crashes. This happens if internal locks are aligned, which is out of control of the attacker.

An improper neutralization of special elements used in an os command ('os command injection') vulnerability in Fortinet FortiAP 7.6.0 through 7.6.2, FortiAP 7.4.0 through 7.4.5, FortiAP 7.2 all versions, FortiAP 7.0 all versions, FortiAP 6.4 all versions, FortiAP-W2 7.4.0 through 7.4.4, FortiAP-W2 7.2 all versions, FortiAP-W2 7.0 all versions may allow an authenticated attacker to execute unauthorized code or commands via a specifically crafted cli command.

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.

An improper neutralization of special elements used in an SQL Command ("SQL Injection&") vulnerability [CWE-89] vulnerability in Fortinet FortiMail 7.6.0 through 7.6.3, FortiMail 7.4.0 through 7.4.5, FortiMail 7.2.0 through 7.2.8 allows an authenticated privileged attacker to execute unauthorized code or commands via specifically crafted HTTP or HTTPS requests.

An improper neutralization of special elements used in an OS command ("OS Command Injection") vulnerability [CWE-78] vulnerability in Fortinet FortiAP 7.6.0 through 7.6.2, FortiAP 7.4.0 through 7.4.5, FortiAP 7.2 all versions, FortiAP 7.0 all versions, FortiAP 6.4 all versions, FortiAP-U 7.0.0 through 7.0.5, FortiAP-U 6.2 all versions, FortiAP-W2 7.4.0 through 7.4.4, FortiAP-W2 7.2 all versions, FortiAP-W2 7.0 all versions allows an authenticated privileged attacker to execute unauthorized code or commands via crafted CLI requests.

An inconsistent user interface issue was addressed with improved state management. This issue is fixed in iOS 18.7.3 and iPadOS 18.7.3, iOS 26.2 and iPadOS 26.2. An app may be able to access sensitive user data.

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.

Missing authorization in the PAM module in Devolutions Server allows an authenticated user with a PAM license but no additional permissions to obtain OTP secret keys and recovery codes via crafted requests to PAM API endpoints. This issue affects the following versions : * Devolutions Server 2026.1.6.0 through 2026.1.11.0 * Devolutions Server 2025.3.16.0 and earlier

Rejected reason: ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. Reason: This candidate was issued in error and is not a valid vulnerability. Notes: All references and descriptions in this candidate have been removed to prevent accidental usage.

YAML::Syck versions before 1.38 for Perl has an out-of-bounds read. The base60 (sexagesimal) parsing code in perl_syck.h has a buffer underflow bug in both int#base60 and float#base60 handlers. When processing the leftmost segment of a colon-separated value (e.g., the 1 in 1:30:45), the inner while loop can decrement a pointer past the start of the string buffer: while ( colon >= ptr && *colon != ':' ) { colon--; } if ( *colon == ':' ) *colon = '\0'; // colon may be ptr-1 here When no colon is found (final/leftmost segment), colon becomes ptr-1, and the subsequent *colon dereference reads one byte before the allocated buffer.

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.

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-security-1.

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.

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.

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.

Zulip is an open-source team collaboration tool. Prior to 12.0, With message_edit_history_visibility_policy set to "moves", /api/v1/messages/{id}/history still returns historical content values, allowing low-privilege users to recover text that was edited away from other users' messages. This vulnerability is fixed in 12.0.

Missing Authorization vulnerability in WPMU DEV Hustle allows Exploiting Incorrectly Configured Access Control Security Levels. This issue affects Hustle: through 7.8.10.1.

Null pointer dereference for some Intel(R) QAT software drivers for Windows before version 2.6.0 within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable denial of service. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (none), integrity (none) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

Improper input validation for some Intel(R) QAT software drivers for Windows before version 2.6 within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable denial of service. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (low), integrity (low) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

Improper access control for some Intel Vision software for all versions within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an unauthenticated user combined with a low complexity attack may enable remote code execution. This result may potentially occur via network access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (low) and availability (low) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

Divide by zero for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable denial of service. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (none), integrity (none) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

Out-of-bounds write for the Intel(R) Data Center Graphics Driver for VMware ESXi software before version 2.0.2 within Ring 1: Device Drivers may allow a denial of service. System software adversary with a privileged user combined with a low complexity attack may enable data corruption. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (none), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (high) and availability (high) impacts.

Buffer overflow for the Intel(R) Data Center Graphics Driver for VMware ESXi software before version 2.0.2 within Ring 1: Device Drivers may allow an escalation of privilege. System software adversary with a privileged user combined with a low complexity attack may enable local code execution. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (high), integrity (high) and availability (high) impacts.