CVE Database

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the unauthenticated POST /api/v1/prediction/:id endpoint accepted an overrideConfig object and unconditionally spread it into internal flowConfig and flowData objects in packages/server/src/utils/buildChatflow.ts and packages/server/src/utils/index.ts without checking apiOverrideStatus. This allowed unauthenticated attackers to inject arbitrary properties into the flow execution context of any public chatflow, overwrite values such as chatId, sessionId, and chatHistory, and control values resolved through $flow.* template variables consumed by flow nodes. 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's HTTP security module httpSecurity.ts did not normalize IPv4-mapped IPv6 addresses such as ::ffff:127.0.0.1 and ::ffff:169.254.169.254 before checking them against the deny list. Because ipaddr.js reports these addresses as ipv6 while IPv4 CIDR deny-list entries are ipv4, isDeniedIP() skipped the IPv4 CIDR checks. An attacker who controls DNS resolution for a hostname used by the HTTP Node, API Chain, Document Loader, MCP tool, or other paths using secureAxiosRequest(), secureFetch(), or checkDenyList() could return a AAAA record for an IPv4-mapped target and cause requests to reach localhost, internal services, or cloud metadata endpoints. 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 CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. 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 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.

A vulnerability allowing local privilege escalation to the Reporter service context.

A vulnerability allowing remote unauthenticated code execution on the agent host.

A vulnerability allowing a low-privileged user to inject SQL and extract database contents.

A vulnerability allowing a low-privileged user to retrieve report data outside the scope of a shared report link.

Multiple vulnerabilities in the REST API interface of HPE Networking SD-WAN Orchestrator could allow an unauthenticated remote attacker to bypass web authentication mechanisms and access system functions. Successful exploitation could allow an attacker to view and modify potentially sensitive information on the target system.

Multiple vulnerabilities in the REST API interface of HPE Networking SD-WAN Orchestrator could allow an unauthenticated remote attacker to bypass web authentication mechanisms and access system functions. Successful exploitation could allow an attacker to view and modify potentially sensitive information on the target system.

A vulnerability allowing an unauthenticated attacker to read arbitrary files from the host, which can be further leveraged toescalate privileges locally.

A vulnerability allowing a high-privileged user to execute arbitrary code on the server.

A vulnerability in Veeam Service Provider Console allowing an unauthenticated attacker to impersonate a managed agent andobtain that agent's credentials.

A vulnerability in Veeam Service Provider Console allowing arbitrary file write on the management server, which can lead to remotecode execution.

A vulnerability in Veeam Service Provider Console allowing an unauthenticated attacker to access the proxied appliance API asPortal Administrator during a short window after an administrator session begins.

A vulnerability in Veeam Service Provider Console allowing an unauthenticated attacker to exhaust host memory and cause adenial of service.

A flaw in Node.js HTTP/2 handling allows `nghttp2_session_mem_send()` to be called re-entrantly while `nghttp2_session_mem_recv()` is executing, resulting in a heap-use-after-free. This vulnerability affects Node.js **26.x**, **24.x**, and **22.x**.

@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.

A vulnerability was identified in GL.iNet AX1800 up to 4.8.3. The affected element is the function remove_rule of the file /usr/share/gl-ngx/oui-rpc.lua of the component RPC Endpoint. The manipulation of the argument args.id leads to command injection. The attack is possible to be carried out remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure.

A vulnerability was determined in o6 open62541 ca356b088ada7dee824d1b4acd07c1ff07ce242b. Impacted is the function UA_Client_getRemoteDataTypes of the file examples/custom_datatype/client_types_custom.c. Executing a manipulation can lead to use after free. It is possible to launch the attack on the local host. The exploit has been publicly disclosed and may be utilized. The project closed the issue report, stating that this is not the official way to report a security vulnerability.

A vulnerability was found in o6 open62541 up to 1.5.5. This issue affects the function UA_Client_readNodeClassAttribute of the file src/client/ua_client_highlevel.c. Performing a manipulation results in heap-based buffer overflow. Attacking locally is a requirement. The exploit has been made public and could be used. The project closed the issue report, stating that this is not the official way to report a security vulnerability.

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 flaw has been found in NousResearch hermes-agent up to 0.16.0. This affects the function save_url_image of the file agent/image_gen_provider.py of the component xAI Image Generation Provider. This manipulation causes server-side request forgery. The attack may be initiated remotely. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

An issue was discovered in Django 5.2 before 5.2.17 and 6.0 before 6.0.8. `django.contrib.admin.utils.display_for_field()` renders `URLField` values as clickable links in the admin without validating the URL. A value stored with an unsafe scheme is displayed as a link on changelist and read-only admin pages, which allows cross-site scripting against staff users who click the link. Exploitation requires the unsafe value to already be stored in the database. `URLField` validation through a `ModelForm` or the admin rejects unsafe schemes, so this affects applications that persist `URLField` data without running model validation, for example through direct queryset writes, deserialization, or bulk import of untrusted input. Django would like to thank Egor Saltykov for reporting this issue.

An issue was discovered in Django 5.2 before 5.2.17 and 6.0 before 6.0.8. GeoDjango's `django.contrib.gis.geos.GEOSGeometry` is subject to a potential denial-of-service when parsing deeply nested `GEOMETRYCOLLECTION` objects supplied as well-known text (WKT), well-known binary (WKB), or hex-encoded WKB, which triggers unbounded recursion and a segmentation fault in the underlying GEOS library. Spatial field lookups and the `django.contrib.gis.forms.GeometryField` form field are also affected. Earlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected. Django would like to thank Andrew MacPherson and kimchunbok_ for reporting this issue.

An issue was discovered in Django 5.2 before 5.2.17 and 6.0 before 6.0.8. `django.utils.translation.check_for_language()` is subject to a potential denial-of-service attack when given many distinct, very long language codes, which are retained as keys in an in-memory cache and consume process memory. Such codes reach the function through the `django.views.i18n.set_language()` view, which is not routed by default. The consumed memory is bounded, since request data is limited by the `DATA_UPLOAD_MAX_MEMORY_SIZE` setting (default 2.5 MB) and the cache holds a fixed maximum number of entries. Earlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected. Django would like to thank Jaeyoung Jang for reporting this issue.

Tapo P110 v1 smart Wi-Fi Plug contains an improper boundary validation vulnerability in the handling of authenticated HTTP request bodies due to insufficient input validation before memory copy operations. This may lead to buffer overflow condition, causing the web service process to crash. Successful exploitation may cause the web service process to stop responding or restart, resulting in a denial-of-service condition.

An issue was discovered in Django 5.2 before 5.2.17 and 6.0 before 6.0.8. GeoDjango spatial lookups optimistically parse the right-hand-side value as a raster by passing it to the `django.contrib.gis.gdal.GDALRaster` constructor. Any value used in a spatial lookup against a `GeometryField` or `RasterField` reaches this constructor, including untrusted input, for example a spatial-field filter submitted through the Django admin changelist query string by a staff user with view permission. A `dict`, or a `str` holding its JSON representation, is opened in write mode regardless of the constructor's `write=False` default, allowing a file with an attacker-chosen name and contents to be written through a file-backed GDAL driver. Any other `str` is treated as a datasource, allowing an outbound network request through a GDAL virtual filesystem handler. Writing a file to a location later imported by the application can result in remote code execution. Earlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected. Django would like to thank Bence Nagy, localhost-detect, and kimchunbok_ for reporting this issue.

H3C Magic BE18000 V200R007, H3C NX400 V100R015, H3C Magic NX30 Pro V100R0011, H3C Magic R3010 V100R009, H3C Magic NX15 V100R017, H3C Magic R1510 V100R016, H3C NE36 Pro V100R002 and H3C MC102G HM1A0V200R010 contain multiple command injection vulnerabilities in the /api/esps request handler. The affected object interfaces and methods are esps.dhcpd.vlan (getlist, delete), esps.filter.url (add, modify), esps.apcm.version (delete, H3C Magic NX15 only), esps.swcm.version (delete, upgrade, all affected models except H3C Magic NX15), and esps.system.ntp (set, all affected models except H3C Magic NX15). Attacker-controlled request parameters are incorporated into shell expressions executed by eval without adequate validation, allowing a remote attacker to execute arbitrary commands as root and gain complete control of the affected device.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, executeJavaScriptCode() accepted caller-provided nodeVMOptions and merged them over the default NodeVM security settings in packages/components/src/utils.ts. An authenticated attacker reaching packages/server/src/routes/node-custom-functions/index.ts could run a custom function that imported flowise-components/dist/src/utils.js, called executeJavaScriptCode() again with nodeVMOptions.require.builtin set to allow all built-in modules, and then required child_process to execute arbitrary system commands as root on the Flowise server. This issue is fixed in version 3.1.3.