| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| n8n versions before 1.123.80, from 2.0.0 before 2.39.6, and from 2.40.0 before 2.40.1 contain a path traversal vulnerability in signed resume URL generation for Send-and-Wait approvals. Attackers with workflow creation permissions can mint valid approval URLs for gates in projects they cannot access by exploiting unresolved traversal sequences in caller-controlled node IDs, enabling cross-project approval forgery. |
| n8n versions before 1.123.80, from 2.0.0 before 2.39.6, and from 2.40.0 before 2.40.1 contain a NoSQL injection vulnerability in the MongoDB Chat Memory node that fails to validate the sessionId parameter. Unauthenticated attackers can supply MongoDB query operators in the sessionId field to access conversation histories from other users and perform unauthorized write and delete operations. |
| n8n versions before 2.39.6 and 2.40.0 before 2.40.1 fail to validate credential ownership during inline agent node-tool introspection. Attackers can reference arbitrary credential IDs to decrypt and exfiltrate plaintext secrets to attacker-controlled hosts without ownership verification. |
| In stpropnci_process of stpropnci.cc, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| A flaw was found in sssd. A local attacker can trigger a Denial of Service (DoS) by sending a specially crafted Pluggable Authentication Module (PAM) request when passkey authentication is enabled. Due to a missing state validation check in passkey Kerberos handling, the PAM responder dereferences an uninitialized pointer and crashes. This failure disrupts authentication services on the host. |
| A flaw was found in SSSD. A local attacker with access to the Name Service Switch (NSS) responder UNIX socket can trigger an integer underflow by sending a specially crafted request with an undersized packet header. This issue causes an out-of-bounds memory read during packet parsing, crashing the responder process and resulting in a Denial of Service (DoS). |
| A flaw was found in sssd. A local attacker can cause a Denial of Service (DoS) by sending a crafted Pluggable Authentication Module (PAM) request containing a zero-length authentication token to the responder socket. Due to missing input validation, the service attempts to read beyond buffer boundaries when processing the token, causing the PAM responder to crash. |
| A flaw was found in SSSD. When configured with the Entra ID identity provider, input lookup names containing single quotes are not properly escaped before being included in Microsoft Graph Open Data Protocol (OData) queries. A low-privileged local user can exploit this flaw by submitting a crafted search request, altering query filters to broaden user or group searches. This can lead to information disclosure by retrieving unintended directory objects, as well as a Denial of Service (DoS) through excessive processing and cache population. |
| A flaw was found in SSSD. A local user can cause a denial of service (DoS) by disrupting system authentication services. When handling Generic Security Services Application Programming Interface (GSSAPI) authentication in the Pluggable Authentication Module (PAM) responder, cached connection state is freed upon completion without clearing the reference pointer. An attacker can exploit this by sending an additional request over the same connection, causing the service to access invalid memory and unexpectedly terminate. |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0. |
| Immich is a high-performance self-hosted photo and video management solution. Prior to 3.2.4, an authenticated non-admin user could upload SVG files that thumbnail-generation code in server/src/repositories/media.repository.ts passed to libvips. Files that bypassed libvips' native SVG loader fell through to ImageMagick, where attacker-controlled <image href> values reached unrestricted MSL and VIDEO coder operations. By storing one crafted asset and referencing its path from a second delayed-marker SVG, an attacker could execute code in the immich-server container when thumbnail processing ran. This issue is fixed in version 3.2.4. |
| In multiple functions of rw_t5t.cc, there is a possible out-of-bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. |
| In isSystem of WifiPermissionsUtil.java, there is a possible sandbox escape due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| In multiple places, there is a possible denial of service due to an uncaught exception. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| There is an input injection in vCast exposed network services in ViewSonic ViewBoard that allows a remote, unauthenticated attacker to inject arbitrary input into service endpoints via network-based HTTP requests to unauthenticated endpoints |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargs_data field, cache identifiers in the features.mm_hashes field, ranges in the features.mm_placeholders field, and wire-selected multimodal field processors without rebinding them to the active model renderer contract. Forged grid geometry, field types, or non-positive placeholder lengths can terminate the shared EngineCore; when an attacker knows or can induce a victim's content hash, forged cache hashes can poison or retrieve cross-request encoder-cache state; and dropped sparse placeholder masks can alter replayed transport semantics. This issue is fixed in version 0.30.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, flash late-interaction scoring at the /score and /rerank endpoints derives each worker's query_key value from the caller-controlled X-Request-Id header. A concurrent request that reuses a victim's identifier can overwrite the cached query embedding so the victim's documents are scored against the attacker's query, and shared use counters can also cause a late-interaction cache-miss error. This issue is fixed in version 0.30.0. |
| vLLM is an inference and serving engine for large language models. Prior to 0.30.0, OpenAI-compatible request models accept a non-empty cache_salt value without enforcing the character and length restrictions required by the IPCCacheServerKey consumer in LMCache-MP. On deployments using the LMCache-MP connector, a salt that contains a forbidden character or exceeds the permitted length can raise an uncaught ValueError during scheduler cache lookup, causing EngineCore to terminate and denying service to all concurrent users. This issue is fixed in version 0.30.0. |
| vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0. |
