| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability was found in Laradock up to 20.4. Impacted is an unknown function of the file workspace/Dockerfile of the component Build Process. The manipulation results in download of code without integrity check. The attack can be launched remotely. A high complexity level is associated with this attack. The exploitability is considered difficult. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way. |
| DigitalCanion has discovered a vulnerability that allows an attacker to cause the system to load an attacker-controlled .so file instead of the expected legitimate module. The loading mechanism relies on a predictable module name without adequately verifying the file’s origin or integrity. A malicious shared object using the expected name can therefore be loaded by a privileged process. The module code then executes within the context and privileges of that process. This results in arbitrary code execution and full compromise of the Mitel Linux virtual machine. |
| Exposure of Sensitive System Information to an Unauthorized Control Sphere vulnerability in Memberful Memberful - Membership Plugin memberful-wp allows Retrieve Embedded Sensitive Data.This issue affects Memberful - Membership Plugin: from n/a through 1.81.2. |
| In JetBrains Rider before 2026.2.1 aI Assistant could auto-update third-party skills without user confirmation |
| PassMark PerformanceTest before 11.1 build 1012, BurnInTest before 11.1 build 1000, and OSForensics before 11.1 build 1016 contain an information disclosure vulnerability in DirectIo64.sys that allows unauthenticated local attackers to dump complete physical memory contents by supplying a caller-controlled file path to an exposed IOCTL. Attackers can issue a single IOCTL call to trigger the driver to iterate all physical memory ranges via MmGetPhysicalMemoryRanges and map each page through ZwMapViewOfSection on the PhysicalMemory section object, writing a full RAM image to an attacker-specified path in the SYSTEM context, bypassing user-mode ACLs and exposing LSASS working set, process memory, and cryptographic material from all running processes. |
| PassMark PerformanceTest before 11.1 build 1012, BurnInTest before 11.1 build 1000, and OSForensics before 11.1 build 1016 contain an unauthenticated physical memory disclosure in DirectIo64.sys, reachable by unprivileged local users through a single IOCTL with no caller-identity check. The handler writes a crash-dump-format (PAGEDU64) image of all physical memory to a caller-supplied file path in the SYSTEM context, allowing a standard user to create files in locations they cannot otherwise write and to recover memory belonging to processes of other users. The image is preceded by a header that exposes the kernel loaded-module list, active-process list and PFN database pointers, defeating KASLR. The same handler also dereferences the return value of an internal kernel-structure locator without a NULL check; that locator returns NULL on three distinct failure paths, and a kernel crash results on builds where any of those paths is taken. |
| Sublime Text for Windows through Build 4192 (Sublime Text 4) and Build 3207 (Sublime Text 3) contains a local privilege escalation vulnerability that allows unprivileged local attackers to execute arbitrary code with elevated privileges by abusing the update staging mechanism. Attackers can place a malicious DLL in the user-writable staging directory under %LOCALAPPDATA%, mark it read-only to bypass cleanup, and have the elevated installer copy it into the protected installation directory, causing the DLL to execute in the context of any higher-privileged user who subsequently launches the application. |
| NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the kernel mode layer, where a user could cause exposure of kernel stack contents including return addresses and pointers. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering. |
| virtualenv is a tool for creating isolated virtual python environments. Prior to 21.7.12, download_wheel() accepts pip and setuptools seed wheels fetched for periodic updates or the --download option without checking their bytes against an authoritative digest equivalent to the embedded wheels' BUNDLE_SHA256 verification. A compromised index, stale mirror, or intercepted TLS connection can substitute a different wheel under the requested distribution, version, and filename, after which virtualenv caches and seeds the attacker-controlled wheel into subsequently created environments. The verification applies to the default PyPI path and is intentionally skipped when PIP_INDEX_URL, PIP_EXTRA_INDEX_URL, or PIP_INDEX configures a custom index that may legitimately publish rebuilt wheels. This issue is fixed in version 21.7.12. |
| vLLM is an inference and serving engine for large language models. In versions from 0.22.1 through 0.28.0, the operator-supplied model revision pin (--revision / --code-revision) is not propagated to several Hugging Face artifact loads for the FunAudioChat and Tarsier2 architectures: the WhisperFeatureExtractor and speech_tokenizer PreTrainedTokenizerFast loads in vllm/model_executor/models/funaudiochat.py and the Qwen2VLConfig.from_pretrained call used by Tarsier2ProcessingInfo in vllm/model_executor/models/qwen2_vl.py. As a result, deployments pinned to a reviewed revision still resolve these behavior-affecting processor, tokenizer, and config artifacts from the repository's default revision, so a later change to the upstream default branch can alter audio preprocessing, speech tokenizer behavior, or Tarsier2 configuration without any change to the operator's configured pin. This is a supply-chain integrity and reproducibility failure for pinned deployments; it is residual to the earlier fix tracked as GHSA-3ww4-5jv9-j5gm / CVE-2026-47155 and does not constitute remote code execution or a trust_remote_code=False bypass. The issue is fixed in version 0.28.0. |
| Unauthenticated Sensitive Data Exposure in TrustedLogin Connector <= 2.0.3 versions. |
| A flaw was found in the automation-controller API. The
unauthenticated health-check endpoint /api/v2/ping/
(ApiV2PingView, AllowAny) over-serializes RBAC-gated
automation-mesh data into its anonymous response, exposing the
full instance inventory (node hostnames, node types, UUIDs,
heartbeats, capacities, and exact versions), all instance-group
names and membership, the deployment install UUID, and the
active control node. A remote, unauthenticated attacker can use
this to map the control plane and fingerprint software versions
for targeted attacks. This flaw affects confidentiality only;
it does not expose secrets, credentials, or tenant data. |
| GPM LIGHT developed by ezGlobal has a Sensitive Data Exposure vulnerability. Unauthenticated remote attackers can directly access system logs. |
| A vulnerability in Hugging Face Transformers (versions 4.57.0 to 5.16.1) allows remote Python files to be written to local disk without user consent when using GenerativePreTrainedModel.load_custom_generate(). The function fetches and caches a remote module file before performing the required trust_remote_code consent check, inverting the security model enforced by other code-loading paths (such as AutoConfig, AutoModel, and AutoTokenizer). As a result, attacker‑controlled Python code from custom_generate/generate.py is copied into the user’s ~/.cache/huggingface/modules directory even if the user declines the trust prompt. Although execution is correctly gated, the file write is not reversible and can persist across sessions. This can lead to persistent, unauthorized files on disk and stale cache collisions where cached attacker code may later be executed during trusted model loads. The issue stems from an unconditional file write in dynamic_module_utils.py prior to any trust verification. |
| The Reachy Mini daemon exposes an HTTP API for managing the robot. Its app installation endpoint, POST /apps/install in src/reachy_mini/daemon/app/routers/apps.py, has no authentication. The handler's only dependency is Depends(get_app_manager), which just hands back the manager object from application state, so nothing in the chain ever checks a credential.
The endpoint takes an AppInfo body naming a Hugging Face Space. The daemon downloads that Space and installs it as a Python package through install_package in src/reachy_mini/apps/sources/local_common_venv.py, using uv or pip. Installing a Python package runs the package's own build and setup code, so whoever chooses the Space chooses what code the robot runs. Anyone can publish a public Hugging Face Space, so this is not a meaningful restriction on the attacker.
How far this reaches depends on the model. In _resolve_bind_host in src/reachy_mini/daemon/app/main.py the daemon binds 0.0.0.0 when it runs as the wireless version and 127.0.0.1 otherwise, with the vendor's own comment explaining that the robot has to be reachable on the LAN. On a wireless unit, then, any host on the same network can install and run code on the robot without credentials.
One related change has already shipped but does not fix this. Version 1.8.2 replaced the wildcard CORS policy with an allow list of localhost and Tauri origins. That closes the browser drive-by route, where a web page the victim visits silently calls the endpoint in the background. It has no effect on this issue: CORS is enforced by browsers and governs whether script may read a response, while a direct HTTP request from another machine on the network involves no browser, no preflight and no CORS check at all. |
| An unauthenticated client can query the Security Domain hosts inventory via GET /ca/rest/securityDomain/hosts and receive a structured response enumerating internal PKI/CA hosts and roles (security domain topology and participating subsystems), without requiring a principal, client certificate, or session. |
| Joplin is an open source note-taking and to-do application that organises notes and lists into notebooks. Prior to 3.7.2, Joplin Desktop for Windows omits publisherName from packages/app-desktop/package.json, so the generated app-update.yml causes NsisUpdater.verifySignature() to skip comparison of a downloaded update's Authenticode signer with Joplin's signer. An attacker who controls the update delivery path can replace the update metadata and installer, and the client accepts an installer signed by another publisher or left unsigned after the user approves installation. Successful exploitation runs attacker-controlled code with the user's privileges and can compromise notes, credentials, and local data. This issue is fixed in version 3.7.2. |
| Nexus Repository 3 did not fully sandbox JEXL expressions used in Content Selectors. An account holding the nexus:selectors:create permission could construct an expression that read Java object properties not intended to be exposed to the expression engine, disclosing internal JVM class metadata such as class and classloader names. This issue does not permit method invocation, object construction, or arbitrary code execution. This has been fixed by restricting property access in the JEXL sandbox to the intended data types. |
| HP has identified and remediated multiple externally reported vulnerabilities within HPLIP. The findings affect several software components that could potentially enable remote code execution, privilege escalation, denial of service, information disclosure, or unauthorized file modification under certain conditions. |
| HP has identified and remediated multiple externally reported vulnerabilities within HPLIP. The findings affect several software components that could potentially enable remote code execution, privilege escalation, denial of service, information disclosure, or unauthorized file modification under certain conditions. |
