Security Vulnerabilities
n8n is an open source workflow automation platform. Prior to 1.123.43, 2.22.1, and 2.20.7, an authenticated user with permission to create or modify workflows could bypass the patch for CVE-2026-42232 in the XML node. When combined with other nodes, this could lead to RCE on the n8n host. This vulnerability is fixed in 1.123.43, 2.22.1, and 2.20.7.
CVSS Score
9.4
EPSS Score
0.006
Published
2026-06-23
n8n is an open source workflow automation platform. Prior to 1.123.43, 2.22.1, and 2.20.7, an attacker with write access to the git repository connected to an n8n Source Control configuration could commit a malicious Data Table JSON file containing a crafted column name. When an administrator performed a Source Control Pull, n8n imported the file and could lead to SQL injection on the internal PostgreSQL instance. Exploitation requires the n8n instance uses PostgreSQL as its database backend, the Source Control feature is enabled and connected to a repository the attacker can write to, and an administrator triggers a Source Control Pull. This vulnerability is fixed in 1.123.43, 2.22.1, and 2.20.7.
CVSS Score
8.9
EPSS Score
0.003
Published
2026-06-23
ImageMagick before 7.1.2-15 and 6.9.13-40 contains a memory leak in coders/txt.c when processing TXT files with texture attributes: the texture object allocated via ReadImage is not released when GetTypeMetrics fails, leaking memory each time a crafted TXT file with a texture attribute is processed.
EPSS Score
0.002
Published
2026-06-23
ImageMagick before 7.1.2-15 and 6.9.13-40 contains a heap use-after-free in the meta coder: when memory allocation fails, a single byte is written to a stale pointer. Remote attackers can trigger it by processing specially crafted image files, causing a denial of service.
CVSS Score
6.3
EPSS Score
0.002
Published
2026-06-23
ImageMagick before 7.1.2-15 and 6.9.13-40 contains a command injection vulnerability in the SVG decoder that allows attackers to inject arbitrary MVG drawing commands. Attackers can craft malicious SVG files with injected Magick Vector Graphics commands that execute during rendering.
EPSS Score
0.008
Published
2026-06-23
Open VSX Registry does not sanitize SVG files uploaded as extension icons prior to storage, and serves them with Content-Type: image/svg+xml without security headers such as Content-Security-Policy or Content-Disposition: attachment. This allows an attacker to publish an extension with a malicious SVG icon and achieve stored cross-site scripting (XSS) when a user navigates directly to the icon URL.
On deployments using local storage, script execution occurs within the Open VSX application origin, enabling session hijacking, authentication token theft, and unauthorized extension publishing. On deployments backed by external storage (such as open-vsx.org with an S3-backed CDN), execution is confined to the storage origin, reducing impact but still permitting phishing attacks and credential harvesting through attacker-crafted pages.
CVSS Score
4.1
EPSS Score
0.002
Published
2026-06-23
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.
CVSS Score
6.5
EPSS Score
0.002
Published
2026-06-22
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.
CVSS Score
6.9
EPSS Score
0.003
Published
2026-06-22
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.
CVSS Score
5.3
EPSS Score
0.008
Published
2026-06-22
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.
CVSS Score
7.5
EPSS Score
0.004
Published
2026-06-22