SGLang contains an RCE vulnerability when the optional dumper subsystem is enabled, allowing for a sandbox escape when DUMPER_SERVER_PORT is set, enabling code execution on inference requests.

SGLang contains an SSRF and local file read in the multimodal generation endpoint /v1/chat/completions due to unsanitized image_url, allowing access to internal metadata, secrets, and services.

SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically within the /update_weights_from_disk, where torch.load(..., weights_only=False) fallback enables pickle deserialization of .bin files.

SGLang contains a credential leakage vulnerability in the /server_info endpoint, which will return API keys and SSL keyfile information when only the --admin-api-key is configured.

SGLang contains a model weight exfiltration vulnerability when no API keys are configured, as SGLang will expose two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer, attackers can exfiltrate all model weights.

Vulnerability in the Oracle Enterprise Command Center Framework product of Oracle E-Business Suite (component: Core). The supported version that is affected is V16. Easily exploitable vulnerability allows unauthenticated attacker with access to the physical communication segment attached to the hardware where the Oracle Enterprise Command Center Framework executes to compromise Oracle Enterprise Command Center Framework. Successful attacks of this vulnerability can result in takeover of Oracle Enterprise Command Center Framework. CVSS 3.1 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

Vulnerability in the Oracle Enterprise Command Center Framework product of Oracle E-Business Suite (component: Core). The supported version that is affected is V16. Difficult to exploit vulnerability allows unauthenticated attacker with access to the physical communication segment attached to the hardware where the Oracle Enterprise Command Center Framework executes to compromise Oracle Enterprise Command Center Framework. Successful attacks of this vulnerability can result in takeover of Oracle Enterprise Command Center Framework. CVSS 3.1 Base Score 7.5 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H).

Vulnerability in the Oracle Enterprise Command Center Framework product of Oracle E-Business Suite (component: Core). The supported version that is affected is V16. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Enterprise Command Center Framework. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Enterprise Command Center Framework accessible data as well as unauthorized read access to a subset of Oracle Enterprise Command Center Framework accessible data and unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Enterprise Command Center Framework. CVSS 3.1 Base Score 8.3 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:H).

IBM Langflow OSS 1.0.0 through 1.10.1  are vulnerable to unauthenticated remote code execution via environment variable injection in the MCP (Model Context Protocol) stdio launcher. The vulnerability exists in src/lfx/src/lfx/base/mcp/util.py where the DANGEROUS_ENV_VARS blocklist fails to include SHELLOPTS , BASHOPTS , and PS4 environment variables.

IBM Langflow OSS 1.0.0 through 1.10.1 allows authenticated users to access and manipulate other users' build jobs through improper access control on log retrieval and unauthenticated build endpoints.

IBM Langflow OSS 1.0.0 through 1.8.4 contains multiple broken access control vulnerabilities in its file handling API that allow unauthorized access to user files.The /api/v1/files/images/{flow_id}/{file_name} endpoint does not enforce authentication or authorization checks, allowing unauthenticated remote attackers to retrieve image files associated with any flow by specifying a valid flow_id and file_name.Additionally, the /api/v1/files/download/{flow_id}/{file_name} endpoint requires authentication but fails to properly validate ownership of the requested resource. As a result, an authenticated user can access files belonging to other users by supplying arbitrary identifiers, leading to an authorization bypass (IDOR).Successful exploitation may result in unauthorized disclosure of sensitive data, including files stored in private flows. This issue breaks tenant isolation in multi-user deployments.

IBM Langflow OSS 1.0.0 through 1.10.1 could allow a remote attacker to traverse directories on the system. An attacker could send a specially crafted URL request containing "dot dot " sequences ( /.. /) to view arbitrary files on the system.

Missing authentication for critical function vulnerability in Universal Software Inc. UKBS allows Accessing Functionality Not Properly Constrained by ACLs. This issue affects UKBS: through 28072026. NOTE: The vendor was contacted and it was learned that the product is not supported.

MaxSite CMS contains a remote code execution vulnerability that allows unauthenticated attackers to inject arbitrary PHP code into the application configuration file by submitting crafted POST requests to the install endpoint after installation is complete. Attackers can supply a malicious db_dbprefix value containing a single quote to break out of a PHP string literal in application/config/database.php, appending attacker-controlled PHP statements that are executed by the web server on every subsequent request, resulting in persistent unauthenticated remote code execution as the web-server process user.

MaxSite CMS 109.5 and earlier contains an authentication bypass vulnerability in the AJAX dispatcher that allows unauthenticated attackers to access admin-gated endpoints by supplying any X-Requested-With header and requesting a base64-encoded path resolving to any *-ajax.php file in the codebase. Attackers can exploit this dispatcher bypass to reach privileged plugin endpoints without credentials, enabling actions such as manipulating poll states and vote counts, and amplifying the impact of any dangerous operation performed by admin-only ajax files across the plugin tree.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.9.0 until 0.11.0, the terminal file-preview serveUrl iframe branch always granted allow-same-origin together with allow-scripts for HTML files served from the application origin. Any authenticated user with access to a configured terminal server could cause script in a previewed file to run in the Open WebUI origin, read the victim's session token from localStorage, and take over the account, with possible server-side code execution if the victim was an admin or held workspace.functions. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.9.0 until 0.11.0, Open WebUI checked whether a user-supplied URL destination was globally routable by applying ipaddress.is_global to the literal IPv6 address without examining IPv4 addresses embedded in transition encodings. On a deployment with a NAT64 gateway, any verified user could wrap an internal or cloud-metadata IPv4 address in the NAT64 well-known prefix, pass the filter, and receive the internal response body through RAG URL ingestion, URL-to-markdown conversion, or web-search content retrieval. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.7.0 until 0.11.0, the legacy chat-completions features block trusted a client-supplied image_generation flag and did not re-check the features.image_generation permission that the direct image routes and native function-calling path enforce. An authenticated user whose image-generation permission had been revoked could still consume the operator's configured image provider through chat completions, spending API credits and provider quota and writing generated files to operator storage, without exposing provider credentials or other users' data. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.9.6 until 0.11.0, DELETE /api/v1/chats/{id} cancelled a chat's in-flight tasks before checking whether the caller could delete that chat. Any authenticated user who knew another user's chat id could abort that user's running model response, title generation, or tag generation, even though the delete was refused and no chat data was deleted, modified, or disclosed. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.8.0 until 0.11.0, when ENABLE_OAUTH_TOKEN_EXCHANGE=True, /oauth/{provider}/token/exchange accepts a raw provider access token and validates it by calling the provider userinfo endpoint without confirming which OAuth client the token was issued to. Anyone holding an access token minted for any client registered with the same provider could exchange it for an Open WebUI session as that token user, including applications the operator does not control and has never authorized. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.5.0 until 0.11.0, the standard channel message update and delete handlers accepted any caller holding write access on the channel without checking that the caller wrote the message. Because write access is the same grant a member needs to post, any ordinary participant in a shared standard channel could rewrite or permanently delete another participant message, while group and direct message handlers enforced authorship. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.6.34 until 0.11.0, Open WebUI renders vega and vega-lite fenced code blocks in chat content by building a Vega view in the viewer browser without a restricted resource loader. Any user who can place such a block where another user will see it can make that user browser issue attacker-chosen outbound GET requests and read responses from same-origin or CORS-permissive targets into the rendered page. This issue is fixed in 0.11.0.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform. From 0.9.6 until 0.11.0, with WEB_LOADER_ENGINE=playwright, the Playwright web loader validates only the top-level page request and lets sub-resource requests pass unvalidated. A page supplied by an authenticated user can use JavaScript to reach blocked internal addresses, and returned DOM can include data read from those addresses in web-search or RAG output. This issue is fixed in 0.11.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the POST /api/v1/oauth2-credential/refresh/:credentialId endpoint is included in WHITELIST_URLS and requires no authentication. The endpoint decrypts the stored credential, sends a refresh request to the configured OAuth provider with the client secret and refresh token, and returns the refreshed access_token in the response body. An attacker with a credential ID can use the token to access the victim's connected service and can also exhaust refresh-token quota. This issue is fixed in 3.1.3.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, a prompt injection sent to a chatflow using a CSV Agent node can cause the LLM to respond with a malicious Python script that bypasses the blocklist validator and executes in an unsandboxed Pyodide environment. The specific flaw exists within the run method of the CSV_Agents class, where untrusted data is used to construct an LLM prompt and the resulting pythonCode is validated by validatePythonCodeForDataFrame before execution. An attacker can leverage this to execute arbitrary code in the context of the service account. This issue is fixed in 3.1.3.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, several organization billing endpoints in packages/server/src/enterprise/routes/organization.route.ts and packages/server/src/enterprise/controllers/organization.controller.ts accept attacker-controlled Stripe subscriptionId values without verifying that the identifier belongs to the authenticated user's organization. An authenticated attacker can perform unauthorized Stripe subscription operations on other tenants, including changing subscription plans or modifying seat quantities, resulting in financial impact and service disruption. This issue is fixed in 3.1.3.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the PUT /api/v1/executions/:id endpoint in packages/server/src/routes/executions/index.ts lacks the checkAnyPermission() middleware that protects other execution endpoints. Any authenticated user, regardless of assigned permissions, can modify execution state, data, and metadata of any execution in their workspace, enabling privilege escalation and manipulation of workflow execution results. This issue is fixed in 3.1.3.

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise injects $vars into the code execution sandbox without requiring variables:view, bypassing the permission-protected Variables API. Variables for the active workspace are fetched at packages/components/src/utils.ts and runtime variables are resolved from server environment variables, while the official variables route enforces variables:view. A user or API key that is denied variables:view can call /api/v1/node-custom-function and receive $vars pre-populated with all variables for the workspace, including Variable.name to Variable.value static variables and Variable.name to process.env[Variable.name] runtime variables. This can expose secrets such as database passwords, JWT secrets, SMTP passwords, and cloud keys, depending on the workspace Variables configuration. This issue is fixed in version 3.1.3.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise validatePythonCodeForDataFrame in packages/components/src/pythonCodeValidator.ts can be bypassed with Unicode homoglyph identifiers, allowing arbitrary Python execution inside Pyodide and full OS command execution on the Flowise host via Pyodide js module interop. The validator gates pyodide.runPythonAsync in packages/components/nodes/agents/CSVAgent/CSVAgent.ts and packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts with an ASCII word-boundary blacklist. JavaScript regex word boundaries are ASCII-only, while Python 3 NFKC-normalizes identifiers at parse time, so homoglyph forms such as __cl𝐚ss__, __subcl𝐚sses__, __b𝐚se__, and __b𝐮iltins__ bypass the blacklist and are parsed as their ASCII equivalents. This issue is fixed in version 3.1.3.

Atlas-Livre contains an improper access control vulnerability in the admin controllers under Espace_admin/controleur/ that allows unauthenticated attackers to bypass session-based authentication guards by sending raw HTTP requests that ignore redirects. Attackers can invoke destructive admin actions such as record deletion by requesting controller endpoints with GET parameters like supp, because the PHP header() redirect is never followed by an exit or die call, allowing all subsequent code including database operations to execute regardless of session state.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(',').pop() and interpolated it directly into executable Python as base64_string = "${base64String}" before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide's js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the OAuth2 token refresh endpoint POST /api/v1/oauth2-credential/refresh/:credentialId is unauthenticated by design and performs a server-side HTTP request to the credential-controlled accessTokenUrl without SSRF protections. Runtime validation confirmed that the endpoint was reachable without authentication, triggered outbound POST requests to an attacker-controlled server, reflected the full remote response body to the caller through tokenInfo, and sent client_id, client_secret, grant_type=refresh_token, and refresh_token in the request body. This issue is fixed in version 3.1.3.

Apache NiFi 1.5.0 through 2.10.0 support gzip-encoded HTTP requests for the application REST API using a Jersey encoding filter. The framework enforced a configurable maximum request size on the compressed payload rather than the decompressed output, allowing a malicious client to send crafted requests that could consume excessive amounts of memory. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, which relocates response compression to Jetty Server and disables decompression of gzip-encoded HTTP requests.

Apache NiFi 2.0.0 through 2.10.0 support creating, reading, and deleting Assets associated with Parameter Contexts through the REST API. The framework authorizes asset deletion against the owning Parameter Context using the supplied Parameter Context Identifier and Asset Identifier. The framework performed authorized based on the supplied Parameter Context Identifier without verifying the requested Identifier against the stored Identifier. Apache NiFi installations that do not implement different levels of authorization across Parameter Contexts are not subject to this vulnerability, because the framework enforces write permissions as the security boundary. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, which verifies Parameter Context ownership of the requested Asset before deletion using the same strategy applied to Asset read operations.

Apache NiFI 1.10.0 through 2.10.0 provide a Parameter Context update REST API method that does not enforce authorization checking on components referencing Parameter values. Updating a Parameter Context can change parameter values that affect referencing components, but framework authorization was limited to read and write privileges on the Parameter Context itself. As a result of the missing authorization, an authenticated user authorized to modify a Parameter Context, but not authorized on referencing components, could alter Parameter values affecting those components. In deployments where a Parameter value contains executable scripting content, updating a Parameter can result in code execution during automatic component validation, without starting the referencing component. The impact was limited to stopped components by existing verification checks, and the issue applies only to deployments that use component-level authorization policies. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, which aligns the Parameter Context update method authorization with other methods, adding authorization checking on affected components.

A flaw was found in SSSD. The extract_authtok_v1() function in the PAM responder does not validate the auth_token_length field against the remaining buffer size before processing. A local attacker can exploit this via a crafted protocol v1 request to the PAM responder socket, causing an out-of-bounds read and process crash, resulting in a denial of service.

An issue in the SBN UDP interface of NASA cFS v7.0.1 allows attackers to cause a Denial of Service (DoS) via transmitting a crafted SBN frame.

Authorization handling for Parameter Context validation requests in Apache NiFi 1.10.0 through 2.10.0 allows clients with read access to submit proposed Parameter values. The proposed values override current configuration, enabling users with read access to invoke predefined component validation methods with alternative settings. Apache NiFi installations that do not implement different levels of authorization for viewing and modifying Parameter Context configuration are not subject to this vulnerability. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, requiring write access to submit Parameter Context validation requests.

Keysight IxChariot Endpoint and associated products contain a stack-based buffer overflow. An unauthenticated remote attacker can send a specially crafted packet and execute arbitrary code with administrative privileges.

GoRest is a Golang starter kit built with the Gin framework for prototyping and developing RESTful APIs. In versions prior to 1.12.2 nMemorySecret2FA contains a race condition due to an unsynchronized package-level map used to store 2FA secrets. Multiple HTTP handlers in handler/login.go and handler/twoFA.go read from and write to this map concurrently, and because Go's runtime treats unsynchronized concurrent map access as an unrecoverable fatal error, an attacker can repeatedly trigger this condition to crash the process on demand. This results in high, repeatable availability impact with no confidentiality or integrity consequences. This issue has been fixed in version 1.12.2.

@langchain/langgraph-checkpoint-mongodb provides a LangGraph.js CheckpointSaver implementation that uses MongoDB for storage. Versions 1.3.0 and below are vulnerable to NoSQL injection: checkpoint identifiers (thread_id, checkpoint_ns, checkpoint_id) from config.configurable are passed into MongoDB find() queries in MongoDBSaver.getTuple() without type enforcement. If an attacker supplies an object payload (such as MongoDB operators $gt or $ne) instead of a string, it can be interpreted as a query operator, bypassing thread scoping and leaking checkpoints, including pending writes, across tenants. Applications are at risk if they forward untrusted input into config.configurable without coercing it to strings or validating it against a schema, particularly in multi-tenant or user-isolated setups. Apps that only use server-issued, string-typed identifiers with schema validation rejecting non-string fields are not affected. This issue has been fixed in version 1.3.1.

CVAT is an open source interactive video and image annotation tool for computer vision. In versions 1.6.0 through 2.64.0, an attacker with write access to a cloud storage that's been added to a CVAT instance, or ability to add new cloud storages, is able to overwrite arbitrary files on the server's filesystem. This issue has been fixed in version 2.65.0.

A security vulnerability has been detected in H3C NX15 V100R017. Impacted is an unknown function of the file /api/wizard/networkSetup. Such manipulation leads to missing authentication. The attack may be performed from remote. The vendor was contacted early about this disclosure.

A weakness has been identified in Systerel S2OPC up to 1.7.3. This affects the function LockedStaMac_ProcessMsg_DeleteMonitoredItemsResponse of the file src/ClientServer/frontend/client_wrapper/internal/state_machine.c of the component DeleteMonitoredItemsRequest Handler. This manipulation causes out-of-bounds read. The attack can only be executed locally. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

A vulnerability has been found in NousResearch hermes-agent up to 0.16.0. This vulnerability affects the function browser_snapshot of the file tools/browser_tool.py of the component Browser Tooling. Such manipulation leads to server-side request forgery. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

A prompt injection vulnerability in the shell tool in Amazon Strands Agents Tools before 0.8.0 might allow remote actors to execute arbitrary operating system commands on the agent's host via a crafted prompt that sets the non_interactive parameter to true, bypassing the human consent gate. To remediate this issue, users should upgrade to version 0.8.0.