CVE Database

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.

Capgo before 12.128.2 contains an information disclosure vulnerability in the unauthenticated /updates endpoint that resolves the defaultChannel parameter before enforcing privacy restrictions, allowing attackers to enumerate private channels and leak version/config state. Unauthenticated attackers can probe private channel names and distinguish valid channels from nonexistent ones based on response differences, revealing assigned bundle versions and platform-specific configuration details.

Flowise before 3.1.0 contains a server-side request forgery vulnerability in the Execute Flow node that allows attackers to bypass security validation by providing intranet addresses through the base URL field. Attackers can initiate HTTP requests to internal network addresses, access cloud metadata, and enumerate internal services by exploiting the missing secureFetch verification in httpSecurity.ts.

Crawl4AI before 0.8.8 contains an arbitrary file write vulnerability in the screenshot and PDF endpoints that allows unauthenticated attackers to write files outside the intended directory via symlink and time-of-check-time-of-use (TOCTOU) attacks on the output_path parameter. Remote attackers can exploit insufficient path validation and symlink following to achieve arbitrary file write and potential code execution on systems where the runtime user has write access to executable or cron locations.

Cap-go capgo (capgo-backend) before 12.128.12 contains an unauthenticated denial-of-service vulnerability arising from the audit_logs table's Row-Level Security (RLS) policy when accessed via the Supabase PostgREST API. Because the PostgreSQL query planner executes costly logic before RLS rejection, unfiltered queries to the public.audit_logs endpoint using the public anon key consistently trigger statement timeouts (PostgREST error 57014). Under concurrency, this exhausts database resources and causes cascading HTTP 500 failures on unrelated endpoints (e.g. /orgs), resulting in an application-layer denial of service.

Capgo before 12.128.2 contains a security control bypass vulnerability where the PostgREST/RLS plane accepts plaintext API keys through the capgkey header despite enforce_hashed_api_keys being enabled. Attackers can bypass org-level hashed-key enforcement by sending plaintext API keys directly to the PostgREST/RLS plane to access protected resources.

Capgo before 12.128.2 contains an authorization bypass vulnerability in its public API key management handlers (get/put/delete/post). API keys created with mode=all but restricted to a single app via limited_to_apps are only checked for limited_to_orgs and not for limited_to_apps, so an app-scoped key can enumerate, update, and delete sibling API keys belonging to the same account that are outside its declared app scope, enabling tampering with account-level credentials.

Capgo before 12.128.2 contains an authorization bypass vulnerability in POST /private/role_bindings that fails to verify app_id ownership during app-scoped role binding creation. An attacker with administrative privileges in one organization can create role bindings targeting applications owned by other organizations, enabling unauthorized read and modification of victim applications.

Missing authentication for critical function vulnerability in AKIN Software Computer Import Export Industry and Trade Ltd. CafePlus allows Accessing Functionality Not Properly Constrained by ACLs. This issue affects CafePlus: from 12.05.03 before 12.05.04.

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

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().

picklescan before 0.0.33 fails to detect malicious pickle files that invoke numpy.f2py.crackfortran.myeval function through the reduce method. Attackers can craft malicious pickle files embedding arbitrary code that evades picklescan detection and executes remote code when loaded.

picklescan before 0.0.29 fails to detect the profile.Profile.runctx function when analyzing pickle files, allowing attackers to embed undetected malicious code. Remote attackers can craft malicious pickle files using profile.Profile.runctx in the reduce method to achieve remote code execution when the pickle file is loaded.

Flowise before 3.0.10 (affected versions 3.0.7 and earlier) contains an unverified email change vulnerability. An authenticated user can change the account email address, used as a login identifier and password-recovery channel, via the account profile endpoint without confirming the change to the original email address or re-entering the current password. By changing the recovery email, an attacker can take over the account and abuse password reset mechanisms.

Traefik before 2.10.5 and 3.0.0-beta4 is affected by a denial-of-service vulnerability in HTTP/2 request handling inherited from the Go standard library's HTTP/2 implementation (CVE-2023-44487 / CVE-2023-39325, the 'Rapid Reset' technique). A remote attacker can rapidly create and cancel HTTP/2 streams to exhaust server resources and cause service unavailability.

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.

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_MSG (compiled out when CONFIG_ASSERT is disabled, the production default), the pull underflows buf->len (uint16_t, e.g. 0 - 8 = 0xFFF8) and advances buf->data past valid data: the subsequent reads of hdr->slen and hdr->sn are out-of-bounds reads of adjacent pool memory. For the multi-fragment (START) case the corrupted buffer is retained as iso->rx, and a following CONT/END fragment's net_buf_tailroom() guard underflows to a near-SIZE_MAX value, defeating the bounds check and causing net_buf_add_mem() to memcpy attacker-supplied fragment data far past the RX pool buffer (out-of-bounds write). The flaw affects ISO receive builds (CONFIG_BT_ISO_RX, selected by the default-off LE Audio options BT_ISO_PERIPHERAL/BT_ISO_CENTRAL/BT_ISO_SYNC_RECEIVER) and has existed since the ISO subsystem was introduced (v2.6.0) through v4.4.0. The fix adds explicit buf->len < sizeof(ts_hdr) and buf->len < sizeof(hdr) checks that drop the buffer before pulling.

bt_sdp_parse_attribute() in subsys/bluetooth/host/classic/sdp.c validated only that the SDP record buffer held the type-marker byte plus the 2-byte attribute ID (a check of buf->len < 3) but then read a fourth byte, the data-element descriptor (type), via net_buf_simple_pull_u8(). Because net_buf_simple_pull_u8() dereferences buf->data[0] before its only bounds guard (an __ASSERT_NO_MSG that compiles out when CONFIG_ASSERT is disabled, the production default), a record of exactly three bytes (0x09 followed by a 2-byte attribute ID) causes a one-byte read past the end of the logical buffer. The parser is reachable from inbound, remote-controlled data: a Bluetooth BR/EDR peer acting as an SDP server returns discovery-response records that are stored verbatim in the client receive buffer and parsed via the public bt_sdp_get_attr()/bt_sdp_has_attr()/bt_sdp_record_parse() helpers. The over-read is bounded to a single byte that is used only as an internal length selector and is never leaked to the attacker; subsequent length checks then reject the malformed record. Realistic impact is therefore limited to an edge-case denial of service (a fault only if the record ends exactly at a mapped-memory boundary, or a deterministic assert panic when CONFIG_ASSERT=y). Affects Zephyr v4.3.0 and v4.4.0; fixed by adding sizeof(type) to the length check.

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 exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

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.

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.