| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, lightrag_webui/src/components/retrieval/ChatMessage.tsx renders answer and thinking content with react-markdown, rehypeRaw, and skipHtml=false without an HTML sanitizer. An attacker who can add a document can store raw HTML that is returned through the query path and rendered as active content by MessageMarkdown. A user who later retrieves the content can execute attacker-controlled JavaScript through elements such as an iframe srcdoc; the additional Mermaid securityLevel: loose rendering path also injects generated SVG through innerHTML. The script runs in the LightRAG WebUI origin and can read the API token in localStorage and perform API actions as the victim. This issue is fixed in version 1.5.5. |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, the LightRAG API server returns raw Python exception text from error handlers in document_routes.py, graph_routes.py, query_routes.py, ollama_api.py, and lightrag_server.py. The detail=str(e), detail=str(exc), and equivalent formatted-message paths expose server filesystem paths, database host, port, user, and database names, language-model provider diagnostics, configuration details, and Python library internals to a network client that can trigger an error. The default unauthenticated configuration makes those responses reachable without credentials, and URI-configured backends can disclose connection strings containing credentials depending on the underlying driver error. This issue is fixed in version 1.5.5. |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, the POST /login endpoint in lightrag/api/lightrag_server.py does not impose a rate limit, account lockout, delay, or counter for failed authentication attempts. A network attacker can submit password guesses at full request speed until a valid account password is found. Successful credential recovery grants authenticated access to documents, the knowledge graph, and administrative operations. This issue is fixed in version 1.5.5. |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, verify_password in lightrag/api/passwords.py compares plaintext AUTH_ACCOUNTS password values with Python's == operator. The comparison can return after the first mismatching byte, creating response-time differences based on password length and matching prefixes. A network attacker with sufficiently low-latency access can repeatedly query the /login endpoint and use the timing oracle to recover a plaintext-configured password character by character. Deployments using bcrypt-prefixed password values are not affected by this comparison path. This issue is fixed in version 1.5.5. |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, _validated_addresses in lightrag/parser/markdown/parser.py evaluates the literal resolved address with ipaddress.is_global without consistently classifying an IPv4 address embedded in an IPv6 transition wrapper. A caller who can upload a Markdown or textpack document can supply an external image URL using NAT64 64:ff9b::/96 or an IPv4-compatible form that embeds a loopback, private, or cloud-metadata IPv4 address. On a deployment with compatible NAT64 or DNS64 routing, _download and _build_guarded_opener accept the wrapper and fetch the internal resource, whose body is then ingested. Current interpreter behavior already blocks some RFC 8215 and 6to4 forms, but the fixed guard handles all documented wrappers without becoming more permissive than the standard library. This issue is fixed in version 1.5.5. |
| AutoAgent contains an unauthenticated remote code execution vulnerability in the TCP server that binds to all interfaces and executes attacker-supplied commands as root. Attackers can connect to the exposed communication port and execute arbitrary bash commands within the container, gaining access to bind-mounted host workspace directories. |
| A vulnerability was identified in HKUDS nanobot up to 0.2.1. The affected element is the function ExecTool._guard_command/ExecTool._spawn of the file nanobot/agent/tools/shell.py of the component ExecTool. Such manipulation leads to argument injection. It is possible to launch the attack remotely. The name of the patch is af582246f141311d574551b7571a517bcc3df750. It is best practice to apply a patch to resolve this issue. |
| A vulnerability has been found in HKUDS AI-Trader up to d03ff6c056b32ced735adf7c19ed8175adb1c8df. The affected element is an unknown function of the file service/server/routes_agent.py of the component selfRegister API Endpoint. Such manipulation of the argument initial_balance leads to business logic errors. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is described as difficult. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. profit_percent_for_display() divides by INITIAL_CAPITAL + deposited, and challenge scoring's return_pct also normalises against the attacker-inflated starting_cash. So an inflated initial_balance does not yield artificial percent returns - it inflates the absolute cash/equity column only, which is a cosmetic/leaderboard-gaming concern in a simulated game. |
| A security vulnerability has been detected in HKUDS nanobot up to 0.2.1. Impacted is the function ExecTool._guard_command/ExecTool._spawn of the file nanobot/agent/tools/shell.py of the component Shell Allowlist Handler. Such manipulation leads to os command injection. The attack can be executed remotely. The exploit has been disclosed publicly and may be used. Upgrading to version 0.3.0 is recommended to address this issue. The name of the patch is 4562. It is advisable to upgrade the affected component. Multiple issues were reported to the project. They reacted with a high level of professionalism and kindness: "These five reports are variants of the same root cause: validation of shell commands containing multiple segments, wrappers, comments, or chained commands. The issue was fixed by validating every executable shell segment against the configured allowlist". |
| A flaw has been found in HKUDS nanobot up to 0.2.1. The impacted element is the function ExecTool._prepare_command of the file nanobot/agent/tools/shell.py of the component Login-shell Environment Handler. Executing a manipulation can lead to information disclosure. The attack requires local access. The exploit has been published and may be used. Upgrading to version 0.3.0 is sufficient to resolve this issue. This patch is called 4525. The affected component should be upgraded. Multiple issues were reported to the project. They reacted with a high level of professionalism and kindness: "The report concerns shell startup files reintroducing environment variables when command execution defaults to a login shell. The default was changed so exec does not use a login shell unless explicitly requested". |
| LightRAG provides simple and fast retrieval-augmented generation. Through version 1.5.4, the LightRAG API server binds to all network interfaces with authentication disabled by default, allowing an unauthenticated network attacker to read indexed document content, upload or delete documents, modify the knowledge graph, cancel pipelines, clear caches, and consume LLM resources. This issue is mitigated in version 1.5.5rc1. |
| Nanobot prior to version 0.2.1 contains a denial of service vulnerability in the Matrix channel media download handler that allows authenticated room members to exhaust process memory and bandwidth by sending media events with missing or invalid size metadata. Attackers can send multiple concurrent Matrix media events with omitted or invalid declared sizes to trigger simultaneous large media downloads that fully materialize response bodies before post-download rejection, consuming process resources until service degradation occurs. |
| Nanobot prior to version 0.2.1 contains a server-side request forgery vulnerability in the Microsoft Teams channel handler that allows remote attackers to exfiltrate Bot Framework bearer tokens by supplying a forged activity with an attacker-controlled serviceUrl value. Attackers can poison the stored conversation reference by sending a crafted inbound activity to the Teams webhook, causing subsequent bot replies to transmit token-bearing Authorization header requests to an attacker-controlled host. |
| Nanobot prior to version 0.2.1 contains a server-side request forgery vulnerability in the web_fetch tool that allows remote attackers to reach internal or private network hosts by supplying a URL that redirects to a loopback or private address via a 3xx Location header. Attackers can exploit the automatic HTTP redirect following behavior in the httpx library to bypass initial URL validation and cause the runtime to send outbound requests to internal hosts before final resolved URL validation is applied. |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.4, when LightRAG is deployed with LIGHTRAG_API_KEY set but AUTH_ACCOUNTS unset, X-API-Key protection can be bypassed because lightrag/api/auth.py falls back to a hardcoded DEFAULT_TOKEN_SECRET, /auth-status and /login can mint guest JWTs, and combined_dependency in lightrag/api/utils_api.py accepts a valid guest token before checking the API key. A remote unauthenticated attacker can call endpoints guarded by combined_auth, including document read, upload, deletion, graph mutation, and query endpoints. This vulnerability is fixed in 1.5.4. |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.4, the server defaults to CORS_ORIGINS=* combined with allow_credentials=True in lightrag/api/lightrag_server.py, causing Starlette CORSMiddleware to effectively whitelist every origin for credentialed cross-origin requests. Any malicious website visited by an authenticated LightRAG user can silently make authenticated API requests, exfiltrating documents and knowledge graph data or performing destructive actions such as deleting the document store. This vulnerability is fixed in 1.5.4. |
| OpenHarness /issue and /pr_comments slash commands lack remote_invocable=False protection, allowing remote channel senders to write attacker-controlled Markdown into project context files. Admitted remote attackers can inject malicious content into .openharness/issue.md and .openharness/pr_comments.md files, which are subsequently injected into runtime system prompts, persistently influencing local agent behavior. |
| OpenHarness ohmo gateway /resume and /summary slash commands default remote_invocable to True, allowing admitted remote senders to enumerate and load arbitrary session snapshots by ID. Attackers can exploit this to access victim snapshots containing private prompts, credentials, tool output, and file paths via shared gateway channels. |
| OpenHarness prior to commit 166fcfe contains an improper access control vulnerability in built-in file tools due to inconsistent parameter handling in permission enforcement, allowing attackers who can influence agent tool execution to read arbitrary local files outside the intended repository scope. Attackers can exploit the path parameter not being passed to the PermissionChecker in read_file, write_file, edit_file, and notebook_edit tools to bypass deny rules and access sensitive files such as configuration files, credentials, and SSH material, or create and overwrite files in restricted host paths in full_auto mode. |
| Vibe-Trading before 0.1.10 contains a DNS rebinding authentication bypass vulnerability that allows remote attackers to bypass bearer-token authentication by exploiting the server's trust of TCP peer addresses for loopback clients combined with missing Host header validation while binding to 0.0.0.0 with credentialed CORS. Attackers can craft a malicious DNS rebinding page to issue authenticated requests to the local API server, reach the shell execution endpoint with a bash-enabled preset, and achieve remote code execution as the API process user while also overwriting LLM and data-source settings to exfiltrate credentials. |
