News & Sicurezza

CVE ID :CVE-2026-10645 Published : June 22, 2026, 11:48 p.m. | 11 hours, 56 minutes ago Description :Zephyr's ext2 directory-entry parser does not fully validate on-disk directory entry structure before copying the entry name and advancing traversal state. In ext2_fetch_direntry() (subsys/fs/ext2/ext2_diskops.c), the code only checks de_name_len Severity: 4.9 | MEDIUM Visit the link for more details, such as CVSS details, affected products, timeline, and more...

CVE ID :CVE-2026-47155 Published : June 22, 2026, 10:20 p.m. | 13 hours, 24 minutes ago Description :vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0. Severity: 6.5 | MEDIUM Visit the link for more details, such as CVSS details, affected products, timeline, and more...

CVE ID :CVE-2026-41523 Published : June 22, 2026, 10:18 p.m. | 13 hours, 25 minutes ago Description :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. Severity: 7.5 | HIGH Visit the link for more details, such as CVSS details, affected products, timeline, and more...

n8n before 2.20.0 contains a credential exfiltration vulnerability in the POST /rest/dynamic-node-parameters/options endpoint that allows authenticated users to bypass Allowed HTTP Request Domains restrictions. Attackers with credential access can cause the n8n server to issue HTTP requests with credentials to unauthorized hosts, exfiltrating sensitive authentication data.

Capgo before 12.128.2 contains a rate limit bypass vulnerability in the channel_self endpoint that allows attackers to circumvent rate limiting by rotating the user-controlled device_id parameter. Attackers can send multiple requests per second by changing device_id values to flood the channel_devices table and cause database exhaustion.

Capgo before 12.128.2 contains an information disclosure vulnerability in the /functions/v1/channel_self endpoint that allows unauthenticated attackers to enumerate non-public channel names and determine app existence and subscription status. Remote attackers can send GET requests with arbitrary app_id parameters to disclose internal rollout channels, enumerate valid applications across tenants, and leak billing status without authentication or device binding.

Capgo before 12.128.12 fails to filter deleted app versions when joining channels during /updates resolution, allowing deleted bundles to remain selectable. Attackers can continue deploying deleted bundles to devices by exploiting the missing app_versions.deleted filter in channel version joins.

Cap-go before 12.128.2 contains a privilege inversion vulnerability in GET /build/logs/:jobId that allows read-only API key holders to cancel running native builds. The endpoint registers an abort listener on the SSE stream that unconditionally invokes cancelBuildOnDisconnect() using the privileged server-side BUILDER_API_KEY when clients disconnect, bypassing the app.build_native permission check required by the explicit POST /build/cancel/:jobId endpoint. Attackers with read-only API keys can repeatedly disrupt native build operations and CI/CD workflows by opening the log stream and dropping the connection.

Flowise before 3.1.2 contains an information disclosure vulnerability in the /api/v1/chatflows/apikey/:apikey endpoint. When the keyonly query parameter is omitted (the default), the endpoint returns not only the chatflows bound to the supplied API key but also all chatflows across every workspace that have no API key assigned, because the underlying query lacks any workspace filter. An attacker with a valid API key for one workspace can therefore retrieve the full ChatFlow configuration (including flowData with system prompts and node configurations, chatbotConfig, apiConfig, and credential IDs) of unprotected chatflows belonging to other workspaces.

Crawl4AI before 0.8.7 contains a server-side request forgery vulnerability in the /crawl, /crawl/stream, /md, and /llm endpoints that fetch arbitrary user-supplied URLs without validation. Unauthenticated attackers can bypass the internal-address blocklist using IPv6-mapped IPv4 addresses to reach internal services and cloud metadata endpoints.

picklescan before 0.0.29 fails to detect malicious pickle files that exploit idlelib.autocomplete.AutoComplete.get_entity function in reduce methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when loaded by victims using pickle.load().

picklescan before 0.0.30 (affected versions 0.0.26 and earlier) fails to detect the ensurepip._run_pip built-in function when scanning pickle files, allowing attackers to execute arbitrary code. Malicious pickle files embedding ensurepip._run_pip calls in __reduce__ methods bypass picklescan detection and achieve remote code execution upon pickle.load() invocation.