| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Vulnerability in the Oracle Hyperion Financial Management product of Oracle Hyperion (component: Security). The supported version that is affected is 11.2.26.0.000. Easily exploitable vulnerability allows high privileged attacker with network access via SQL to compromise Oracle Hyperion Financial Management. Successful attacks of this vulnerability can result in takeover of Oracle Hyperion Financial Management. CVSS 3.1 Base Score 7.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H). |
| MikroTik firmware 7.19.4 stores sensitive authentication credentials and network state in cleartext within non-volatile storage. An attacker with physical access to the device can extract this material from an SPI flash dump, without authenticating to the device and without knowledge of the administrative password. |
| An issue in gray-matter All versions (verified on 4.0.3) allows the JavaScript engine in lib/engines.js using eval() to parse front matter when language is js/javascript.This allows arbitrary code execution. |
| Improper error handling in the GRAPH.EFFECT component (/effects/effects_apply.c) of FalkorDB (Redis module) v4.20.1 leads to a Denial of Service (DoS) within the application. |
| An out-of-bounds read vulnerability exists in the schema lexer of flatcc 4c3b999e. When an exact-length FlatBuffers schema buffer ends with a digit, the integer digit-scan loop in lex() advances past the end of the input buffer and dereferences the out-of-bounds pointer. A specially crafted schema can trigger a one-byte heap buffer over-read, resulting in application crash and denial of service. |
| MCP Atlassian is a Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Prior to 0.22.0, JiraUserMixin._lookup_user_by_permissions uses the module-level requests.get function instead of the fetcher's protected session. A caller-controlled public Jira URL can redirect that unhooked request to an internal address, bypassing the redirect checks added for CVE-2026-27826. The advisory traces the vulnerable input and processing flow through JiraUserMixin._lookup_user_by_permissions, requests.get, self.jira._session.get, and _make_ssrf_safe_hook, which identify the affected entry points, controls, and code paths. This issue is fixed in version 0.22.0. |
| SolarWinds Observability Self-Hosted was found to be affected by an unauthenticated remote code execution vulnerability stemming from deserialization of untrusted data when the application is configured to use a specific communication mode. |
| MCP Atlassian is a Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Prior to 0.22.0, _make_ssrf_safe_hook is omitted from JiraFetcher and ConfluenceFetcher sessions created through the basic-auth and oauth_pat branches. If an attacker-controlled or compromised configured Atlassian instance returns a redirect to an internal address, those sessions can follow the redirect without revalidating its destination. This issue is fixed in version 0.22.0. |
| psd-tools is a Python package for working with Adobe Photoshop PSD files. Prior to 1.17.4, PSDImage.composite() and PSDImage.numpy() allocated output buffers from attacker-controlled PSD header geometry, including width, height, channels, depth, and per-layer rectangles, before validating those values against the available file data. A tiny crafted PSD could therefore cause multi-gigabyte memory allocation, and PSDImage.composite() could return a black image with only a warning instead of raising an exception. Services that composite untrusted PSD files could be terminated by out-of-memory handling. This issue is fixed in version 1.17.4. |
| This CVE ID has been rejected or withdrawn by its CVE Numbering Authority. |
| The Okta Access Gateway does not sanitize SAML assertion values before interpolating them into database queries in the advanced mode datastore configuration. The unsanitized values are substituted directly into the query string prior to preparation, resulting in unintended SQL execution against the configured backend database. |
| ImageMagick before 7.1.2-31 and 6.9.13-56 contains a division-by-zero flaw in the FLIF encoder. An incorrect value for ticks per second in the image being encoded causes a divide-by-zero and crashes the encoder, resulting in a denial of service. The issue is fixed in 7.1.2-31 and 6.9.13-56. |
| ImageMagick before 7.1.2-31 and before 6.9.13-56 contains a NULL pointer dereference in the PNM coder. When the coder reaches a memory (resource) limit at a specific point during processing, the failed allocation is not handled and a NULL pointer is dereferenced, which can lead to a denial of service (application crash) when processing a specially crafted or sufficiently large PNM image. |
| vLLM versions before 0.28.0 fail to validate the lower bound of token IDs in the /v1/embeddings and /pooling endpoints, allowing unauthenticated attackers to crash the engine by submitting negative token IDs. A single request with a negative token ID triggers a CUDA device-side assertion that poisons the GPU context, causing all subsequent requests to fail until the process restarts. |
| vLLM through 0.29.0 contains a memory corruption vulnerability in the Triton _bincount_kernel where prompt token IDs index the penalty prompt-presence bitset without bounds checking against vocabulary size. Attackers can submit multimodal audio requests with tokens equal to vocabulary size, causing out-of-bounds writes that corrupt concurrent requests' sampler state and alter repetition penalty behavior. |
| Expat through 2.8.4 fails to validate low surrogates following high surrogates in UTF-16 input, allowing malformed UTF-16 sequences to be accepted. Attackers can craft UTF-16 encoded XML with lone high surrogates that consume following code units, hiding markup characters from the parser and enabling XML injection attacks. |
| vLLM through 0.29.0 fails to properly validate bad_words token indices against the model's generation output width in SamplingParams.update_from_tokenizer(). Attackers can supply out-of-bounds token indices that corrupt logits memory of concurrent requests, causing different in-flight HTTP requests to return incorrect tokens. |
| braces through 3.0.3 contains a stack overflow vulnerability in the recursive AST walkers that lack depth guards. Attackers can supply deeply nested brace patterns under the character limit to exhaust the call stack and terminate the Node.js process with an uncaught RangeError. |
| vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process. |
| uri-js through 4.4.1 contains an improper UTF-8 decoding vulnerability in pctDecChars() that decodes invalid and overlong percent-encoded sequences into ASCII metacharacters. Attackers can craft percent-encoded payloads to bypass platform decoder validation and inject path traversal or CRLF sequences that downstream consumers process without filtering. |
