CVE index

In ManageEngine ADSelfService Plus, RecoveryManager Plus, M365 Manager Plus, and ADAudit Plus, the SSO tickets generated to authenticate that session could be predicted by an unauthenticated user, leading to account takeover.

Mojolicious::Plugin::Web::Auth::OAuth2 versions through 0.17 for Perl have an insecure default state parameter. When no state generator is specified in the constructor, the module defaults to using a SHA-1 hash of predictable and low-entropy sources, including the epoch time (which is leaked via the HTTP Date header) and a call to Perl's built-in rand function. A predictable state allows an attacker to hijack another user's session through cross site request forgery (CSRF).

An high privileged remote attacker can access a hidden configuration method, that should not be accessible by any user, to modify critical program parameters. This can result in a total loss of confidentiality, integrity and availability.

The Frontend File Manager Plugin WordPress plugin through 23.6 does not properly enforce its nonce check on the file download handler, allowing unauthenticated attackers to download files uploaded by any user through the Frontend File Manager Plugin WordPress plugin through 23.6 by iterating identifiers.

The Simple Basic Contact Form WordPress plugin through 20250114 does not escape user-supplied input before reflecting it into the contact form output on validation errors, leading to a Reflected Cross-Site Scripting vulnerability that unauthenticated attackers can exploit against site visitors via a crafted link or cross-site form submission.

The Infility Global WordPress plugin before 2.15.19 does not properly sanitize and escape some parameters before using them in SQL statements, leading to a SQL Injection vulnerability exploitable by authenticated users with Subscriber-level access and above.

All versions of the package expr-eval are vulnerable to Code Execution via the toJSFunction() API. An attacker can execute arbitrary JavaScript by supplying crafted expressions that are compiled into native code using new Function(). Because user-controlled expressions are transformed directly into executable JavaScript, attackers can escape the intended expression sandbox and run arbitrary code within the application's context.

Overview: A vulnerability has been found in FAST/TOOLS and CI Server. The web server may return a response containing the CI Server setting information. This information could be exploited by an attacker for other attacks. The affected products and versions are as follows: FAST/TOOLS (Packages: RVSVRN, UNSVRN, HMIWEB, FTEES, HMIMOB) R9.01 to R10.04 CI Server (All packages) R1.01 to R1.04

bt_iso_recv() in subsys/bluetooth/host/iso.c pulled the ISO SDU header (4 bytes) or, when the timestamp flag is set, the timestamped SDU header (8 bytes) from the inbound HCI ISO Data buffer via net_buf_pull_mem() without first checking buf->len. The upstream hci_iso() handler enforces buf->len == the controller-declared ISO Data_Load length, so a malicious or buggy controller / adjacent BLE peer on an established CIS/BIS can present a first-fragment (BT_ISO_START) or single (BT_ISO_SINGLE) PDU shorter than the SDU header. Because net_buf_simple_pull_mem only guards length with __ASSERT_NO_...

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exf...

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

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.

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.