CVE Database

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 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.

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, 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.

Improper input validation for some Intel Endpoint Management Assistant (EMA) software before version 1.14.5 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with an unauthenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via adjacent 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.

Improper Handling of Case Sensitivity vulnerability in LockOutRealm 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. Older unsupported versions may also be affected. Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue.

Exposure of HTTP Authentication Header to unexpected hosts during WebSocket authentication 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 9.0.2 through 9.0.117, from 8.5.24 through 8.5.100, from 7.0.83 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.

Allocation of Resources Without Limits or Throttling 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. Older, unsupported versions may also be affected. Users are recommended to upgrade to version [FIXED_VERSION], which fixes the issue.

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 submitting a specially crafted query string containing Python code that imports modules (e.g., os) and executes arbitrary system commands, leading to complete compromise of the server.

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 code execution on the victim's system when the file is loaded via the vulnerable method.

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 attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method.

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 code execution on the victim's system when the file is loaded via the vulnerable method.

PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting 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 checkpoint file, leading to arbitrary code execution on the victim's system when the file is loaded.

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 through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system.

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 this by providing a maliciously crafted state_dict.pt file within a directory specified via the --model argument, leading to arbitrary code execution during the deserialization process on the victim's system.

Server-Side Request Forgery vulnerability allows Privilege Escalation via API Checker extension. This issue affects Pandora FMS: from 777 through 800

Session Fixation vulnerability allows Session Hijacking via crafted session ID. This issue affects Pandora FMS: from 777 through 800

Cross-Site Request Forgery vulnerability allows an attacker to perform unauthorized actions via crafted web page. This issue affects Pandora FMS: from 777 through 800

An arbitrary file upload vulnerability in MK-Auth 23.01K4.9 allows attackers to execute arbitrary code via uploading a crafted PHP file.

SQL injection in the web console of Ivanti Endpoint Manager before version 2024 SU6 allows a remote authenticated attacker to achieve remote code execution.

Incorrect permissions assignment in the agent of Ivanti Endpoint Manager before version 2024 SU6 allows a local authenticated attacker to escalate their privileges.

OS command injection in Ivanti Virtual Traffic Manager before version 22.9r4 allows a remote authenticated attacker with admin privileges to achieve remote code execution.

A race condition in Ivanti Secure Access Client before 22.8R6 allows a locally authenticated user to escalate privileges to SYSTEM

CWE-1188 Initialization of a Resource with an Insecure Default vulnerability exists that could cause unauthorized disclosure of sensitive information when credentials revert to initial settings in rare circumstances, enabling unauthorized authentication using known credentials.

Pocket ID is an OIDC provider that allows users to authenticate with their passkeys to your services. Prior to 2.6.0, The createTokenFromRefreshToken function (oidc_service.go) validates the refresh token's cryptographic integrity but does not re-validate the user's current authorization state before issuing new tokens. This allows (1) the client to refresh the token indefinitely after authorization revocation, (2) the refresh token to continue to work after the account is disabled, and (3) the token to work after the client is removed from the group. This vulnerability is fixed in 2.6.0.