| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A memory-initialization flaw in the legacy GridFS file handling of the MongoDB C Driver can cause uninitialized process memory to be treated as valid file content and stored on the server. A database user holding ordinary write access to a shared storage area can arrange conditions under which an application later appends to such a file and writes that memory into records the same user is permitted to read, which may result in unintended disclosure of sensitive information from the application's process, including credentials. |
| A memory management flaw in the MongoDB C Driver's handling of compressed responses may cause the client library to hold on to memory that is never released. An unauthenticated party that controls the database endpoint a client application connects to may cause repeated, unbounded memory growth in that application, which may result in the application becoming unavailable. No credentials, transport security settings, or user interaction are required. |
| A component of the MongoDB Rust Driver that records diagnostic tracing data can capture command content before automatic client-side field level encryption is applied. In deployments that turn on the optional tracing capability together with automatic in-use encryption, a party with read access to the application's exported trace data may obtain field values that the application designated for encryption, without access to the encryption keys. This may result in unintended disclosure of data. |
| A malicious actor who lures an authenticated user to a malicious page could exploit a Cross-Site Request Forgery (CSRF) vulnerability found in airMAX M devices to execute a Command Injection on the device. |
| A malicious actor with access to the adjacent network could exploit a Heap-based Buffer Overflow vulnerability found in airMAX M, LTU, SolarPoint, and SolarSwitch devices to execute arbitrary code on the device. |
| A malicious actor with access to the adjacent network and under certain conditions could exploit a Stored Cross-Site Scripting (XSS) vulnerability found in airMAX M devices to escalate privileges on the device. |
| An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in macOS Golden Gate 27.2. An app may be able to cause unexpected system termination. |
| A use-after-free issue was addressed with improved memory management. This issue is fixed in Safari 27.2, iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, tvOS 27.2, visionOS 27.2, watchOS 27.2. Processing maliciously crafted web content may lead to an unexpected process crash. |
| An access issue was addressed with improved access controls. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An app may be able to access sensitive user data. |
| A race condition was addressed with additional validation. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. A malicious application may be able to bypass Privacy preferences. |
| The issue was addressed with improved handling of secure input state. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An app may be able to access sensitive user data. |
| A buffer overflow was addressed with improved size validation. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An app may be able to cause unexpected system termination. |
| ag-psd is a JavaScript library for reading and writing Photoshop Document files. Prior to 31.0.3, readPsd() accepts a totalMemoryLimit for parsing untrusted PSD files, but decodeLayerImageData expects a differently named memoryLimit property and therefore passes an undefined limit to createImageDataBitDepth. An attacker who can supply a PSD to an application with layer decoding enabled can use attacker-controlled layer dimensions to trigger an allocation larger than the configured limit, causing process memory exhaustion and denial of service. The advisory also identifies inflateSync(compressed) decompressing ZIP-encoded channel data without an output-size cap, which can cause a similar denial of service through unbounded decompression. This vulnerability is fixed in 31.0.1. |
| Yeti bridges the gap between CTI and DFIR practitioners by providing a Forensics Intelligence platform and pipeline. In version 2.5.0 and earlier, YETI directly interpolates user-controlled sorting fields and filter_aliases attribute paths into ArangoDB AQL identifier and expression positions in core/database_arango.py. A low-privileged authenticated user can send crafted values to POST /api/v2/observables/search, POST /api/v2/entities/search, POST /api/v2/indicators/search, POST /api/v2/dfiq/search, POST /api/v2/search/, or POST /api/v2/graph/search, causing attacker-controlled AQL subexpressions to be parsed and evaluated. This can provide an error oracle, evaluate expressions against internal collections such as users, alter intended search logic, enumerate schema information, and consume excessive database resources. The verified injection points are read and search contexts, so arbitrary database writes are not established. No fixed version is available as of this review. |
| Yeti bridges the gap between CTI and DFIR practitioners by providing a Forensics Intelligence platform and pipeline. Prior to 2.5.1, YETI derives ExportTask.file_name from the user-controlled task name and passes it to core/clients/file_storage/classes/local_storage.py without sanitizing traversal sequences or enforcing path confinement. A low-privileged authenticated user using the default local storage backend can call POST /api/v2/tasks/export/new with a traversal name and use ExportTask.file_contents through GET /api/v2/tasks/export/{export_id}/content to read files accessible to the YETI service account. Running ExportTask.run() can also write attacker-controlled export output to an attacker-selected writable path. The impact depends on the service account's filesystem permissions, and universal code execution is not established. This issue is fixed in version 2.5.1. |
| This issue was addressed with improved validation of the caller's access. This issue is fixed in iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Tahoe 26.7, visionOS 27. An app may be able to access protected user data. |
| A memory corruption issue was addressed with improved input validation. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An attacker in physical proximity may be able to corrupt process memory. |
| FreeRDP from 3.27.0 before 3.32.2 contains a denial of service vulnerability in rdpdr_dump_packet that allows malicious RDP servers to abort clients by sending malformed RDPDR device-list announcements. Attackers can declare a DeviceDataLength exceeding the received packet, triggering a fatal Stream_Seek assertion when device redirection, TRACE logging, and WinPR assertions are enabled. |
| FreeRDP before 3.32.2 contains an improper certificate validation vulnerability in tls_verify_certificate() that accepts Common Name fallback despite non-matching SAN entries and matches IP literals against DNS strings. Man-in-the-middle attackers holding a certificate from a client-trusted CA can bypass server identity checks to intercept RDP sessions, including keystrokes, clipboard, and screen content. |
| FreeRDP from 3.0.0 before 3.32.2 contains a denial of service vulnerability that allows malicious RDP servers to abort clients built with verbose WinPR assertions by sending crafted RemoteFX region rectangles. Attackers can supply a rectangle with x set to 65535 alongside a SurfaceBits destination left of 1, triggering a 16-bit coordinate assertion in rfx_process_message that terminates the client process. |
