An out-of-bounds read vulnerability exists in the JPEGBITSCodec::InternalCode functionality of Grassroot DICOM 3.024. A specially crafted DICOM file can lead to an information leak. An attacker can provide a malicious file to trigger this vulnerability.The function `null_convert` is called based of the value of the malicious DICOM file specifying the intended interpretation of the image pixel data
Meltytech Shotcut 25.10.31 is vulnerable to Buffer Overflow. A memory access violation occurs when processing MLT project files with manipulated width and height parameters. By setting these values to extremely large numbers, the application attempts to allocate excessive memory during image processing, triggering a buffer overflow in the mlt_image_fill_white function.
Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to versions 8.6.2 and 9.1.1-alpha.1, the Instagram authentication adapter allows clients to specify a custom API URL via the `apiURL` parameter in `authData`. This enables SSRF attacks and possibly authentication bypass if malicious endpoints return fake responses to validate unauthorized users. This is fixed in versions 8.6.2 and 9.1.1-alpha.1 by hardcoding the Instagram Graph API URL `https://graph.instagram.com` and ignoring client-provided `apiURL` values. No known workarounds are available.
systeminformation is a System and OS information library for node.js. In versions prior to 5.27.14, the `fsSize()` function in systeminformation is vulnerable to OS command injection on Windows systems. The optional `drive` parameter is directly concatenated into a PowerShell command without sanitization, allowing arbitrary command execution when user-controlled input reaches this function. The actual exploitability depends on how applications use this function. If an application does not pass user-controlled input to `fsSize()`, it is not vulnerable. Version 5.27.14 contains a patch.
Expr is an expression language and expression evaluation for Go. Prior to version 1.17.7, several builtin functions in Expr, including `flatten`, `min`, `max`, `mean`, and `median`, perform recursive traversal over user-provided data structures without enforcing a maximum recursion depth. If the evaluation environment contains deeply nested or cyclic data structures, these functions may recurse indefinitely until exceed the Go runtime stack limit. This results in a stack overflow panic, causing the host application to crash. While exploitability depends on whether an attacker can influence or inject cyclic or pathologically deep data into the
evaluation environment, this behavior represents a denial-of-service (DoS) risk and affects overall library robustness. Instead of returning a recoverable evaluation error, the process may terminate unexpectedly. In affected versions, evaluation of expressions that invoke certain builtin functions on untrusted or insufficiently validated data structures can lead to a process-level crash due to stack exhaustion. This issue is most relevant in scenarios where Expr is used to evaluate expressions against externally supplied or dynamically constructed environments; cyclic references (directly or indirectly) can be introduced into arrays, maps, or structs; and there are no application-level safeguards preventing deeply nested input data. In typical use cases with controlled, acyclic data, the issue may not manifest. However, when present, the resulting panic can be used to reliably crash the application, constituting a denial of service. The issue has been fixed in the v1.17.7 versions of Expr. The patch introduces a maximum recursion depth limit for affected builtin functions. When this limit is exceeded, evaluation aborts gracefully and returns a descriptive error instead of panicking. Additionally, the maximum depth can be customized by users via `builtin.MaxDepth`, allowing applications with legitimate deep structures to raise the limit in a controlled manner. Users are strongly encouraged to upgrade to the patched release, which includes both the recursion guard and comprehensive test coverage to prevent regressions. For users who cannot immediately upgrade, some mitigations are recommended. Ensure that evaluation environments cannot contain cyclic references, validate or sanitize externally supplied data structures before passing them to Expr, and/or wrap expression evaluation with panic recovery to prevent a full process crash (as a last-resort defensive measure). These workarounds reduce risk but do not fully eliminate the issue without the patch.
filelock is a platform-independent file lock for Python. In versions prior to 3.20.1, a Time-of-Check-Time-of-Use (TOCTOU) race condition allows local attackers to corrupt or truncate arbitrary user files through symlink attacks. The vulnerability exists in both Unix and Windows lock file creation where filelock checks if a file exists before opening it with O_TRUNC. An attacker can create a symlink pointing to a victim file in the time gap between the check and open, causing os.open() to follow the symlink and truncate the target file. All users of filelock on Unix, Linux, macOS, and Windows systems are impacted. The vulnerability cascades to dependent libraries. The attack requires local filesystem access and ability to create symlinks (standard user permissions on Unix; Developer Mode on Windows 10+). Exploitation succeeds within 1-3 attempts when lock file paths are predictable. The issue is fixed in version 3.20.1. If immediate upgrade is not possible, use SoftFileLock instead of UnixFileLock/WindowsFileLock (note: different locking semantics, may not be suitable for all use cases); ensure lock file directories have restrictive permissions (chmod 0700) to prevent untrusted users from creating symlinks; and/or monitor lock file directories for suspicious symlinks before running trusted applications. These workarounds provide only partial mitigation. The race condition remains exploitable. Upgrading to version 3.20.1 is strongly recommended.
nopCommerce 4.90.0 is vulnerable to Cross Site Scripting (XSS) in the product management functionality. Malicious payloads inserted into the "Product Name" and "Short Description" fields are stored in the backend database and executed automatically whenever a user views the affected pages.