25
CVEs
5
Critical
10
High
0
KEV
0
PoC
6
Unpatched C/H
60.0%
Patch Rate
0.1%
Avg EPSS
Severity Breakdown
CRITICAL
5
HIGH
10
MEDIUM
9
LOW
1
Monthly CVE Trend
Affected Products (3)
Top Risky CVEs
| CVE | Summary | Severity | CVSS | EPSS | Priority | Signals |
|---|---|---|---|---|---|---|
| CVE-2026-34162 | Unauthenticated HTTP proxy abuse in FastGPT (AI Agent platform) prior to v4.14.9.5 allows remote attackers to relay arbitrary HTTP requests through the server. The /api/core/app/httpTools/runTool endpoint accepts user-controlled URLs, methods, headers, and body parameters without authentication, functioning as an open proxy for network pivoting, credential theft, and internal network reconnaissance. CVSS 10.0 (Critical) with network attack vector and no privileges required. No public exploit identified at time of analysis, though exploitation is trivial given the exposed endpoint design. EPSS data not available. | CRITICAL | 10.0 | 0.1% | 50 |
|
| CVE-2026-42302 | Remote code execution in FastGPT's agent-sandbox component (versions 4.14.10 through 4.14.12) lets any network-adjacent, unauthenticated attacker seize full control of the sandbox environment. The bundled entrypoint.sh launches code-server with --auth none and binds it to 0.0.0.0:8080, so reaching the exposed port grants an interactive VS Code-based shell with no password. CVSS is 9.8 and SSVC rates technical impact as total with automatable exploitation; publicly available exploit code exists (SSVC 'poc'), though EPSS remains modest at 0.33%. | CRITICAL | 9.8 | 0.3% | 49 |
No patch
|
| CVE-2026-40351 | NoSQL injection in FastGPT <4.14.9.5 password authentication allows unauthenticated remote attackers to bypass login controls and access any account, including root administrator, by submitting MongoDB query operators instead of plaintext passwords. The vulnerability stems from missing runtime validation on password fields in the login endpoint. Exploitation requires no special conditions beyond network access to the login endpoint. CVSS 9.8 (Critical) with EPSS data unavailable; no CISA KEV listing or public POC identified at time of analysis, though GitHub security advisory provides technical details that could enable exploit development. | CRITICAL | 9.8 | 0.0% | 49 |
|
| CVE-2026-68929 | Channel hijack and denial of service in FastGPT (labring/FastGPT) before 4.15.2 lets an unauthenticated remote attacker take over or disable a victim team's WeChat (iLink) bot binding. The WeChat share-channel endpoints authorize on the public shareId alone with no identity or team-ownership check, so an attacker who reads a shareId from any shared chat URL can wipe the stored WeChat token (offlining the bot) or bind the app to their own bot to siphon the team's private responses. No public exploit identified at time of analysis, but the flaw is trivially triggerable and fixed in version 4.15.2. | CRITICAL | 9.3 | 0.3% | 47 |
No patch
|
| CVE-2026-50562 | GitHub Actions artifact-poisoning (pwn request) in labring/FastGPT allows an external attacker who opens a pull request to smuggle attacker-controlled Docker images into privileged CI/CD pipelines. At commit 22ebfacbb43311e9b73294040ae0eb87390c6bba and earlier, artifacts built from untrusted PR code in the preview-docs-build and preview-fastgpt-build workflows are consumed by privileged workflow_run jobs, letting a malicious image be pushed to GHCR and, for documentation previews, deployed to a Kubernetes cluster using the secrets.KUBE_CONFIG_CN credential. There is no public exploit identified at time of analysis and it is not in CISA KEV, but the flaw is trivially reachable by any contributor. | CRITICAL | 9.3 | 0.2% | 46 |
No patch
|
| CVE-2026-40352 | NoSQL injection in FastGPT versions before 4.14.9.5 allows authenticated attackers to bypass password verification on the password change endpoint using MongoDB query operators. Low-privileged users can change their own password (or potentially others' passwords via ID manipulation) without knowing the current password, enabling full account takeover and persistent access. Fixed in version 4.14.9.5. No active exploitation confirmed (not in CISA KEV), and no public exploit code identified at time of analysis, though the attack technique is well-documented for NoSQL injection vectors. | HIGH | 8.8 | 0.0% | 44 |
|
| CVE-2026-33075 | FastGPT versions 4.14.8.3 and below contain a critical arbitrary code execution vulnerability in the fastgpt-preview-image.yml GitHub Actions workflow that allows external contributors to execute malicious code and exfiltrate repository secrets. The vulnerability stems from unsafe use of pull_request_target with attacker-controlled Dockerfile builds that are pushed to the production container registry, enabling both direct compromise and supply chain attacks. No patch was available at the time of public disclosure, making this an unpatched remote code execution affecting the AI Agent building platform across affected versions. | HIGH | 8.8 | 0.0% | 44 |
No patch
|
| CVE-2026-61684 | Authentication bypass in FastGPT 4.15.0-beta4 lets unauthenticated remote attackers forge JWTs and access internal plugin reverse-call endpoints, because /api/invoke/* trusts tokens signed with INVOKE_TOKEN_SECRET whose default value is the literal string 'token' and which official deployment templates never set. By self-signing an HS256 JWT, an attacker can call /api/invoke/userInfo to read cross-tenant user PII via arbitrary tmbId values, or /api/invoke/fileUpload to write attacker-controlled content into chat files. No public exploit identified at time of analysis and not listed in CISA KEV, but the trivial exploitation and hardcoded-secret root cause make this high priority for self-hosted deployments. | HIGH | 8.8 | 0.3% | 44 |
No patch
|
| CVE-2026-55418 | Cross-tenant file disclosure in FastGPT prior to v4.15.0-beta5 allows an attacker to read another team's stored files by supplying that team's S3 object key to the chat-file presign or dataset preview endpoints. The handlers authorize an unrelated resource but then sign or read the S3 object using a request-supplied key without verifying tenant ownership, so global bucket keys become an IDOR primitive. No public exploit code has been identified at time of analysis, though the upstream fix (PR #7104 / commit decb6d2) reveals the exact vulnerable code path. | HIGH | 8.6 | 0.3% | 43 |
|
| CVE-2026-54607 | Server-side request forgery in FastGPT before 4.15.0-beta4 lets an authenticated team member abuse the HTTP-tool OpenAPI schema importer to reach internal-only services and cloud instance metadata. Because the importer only validates the top-level URL and then hands the document to SwaggerParser.bundle, whose $ref resolver fetches remote references without FastGPT's internal-address guard, fetched content is returned inline to the caller. There is no public exploit identified at time of analysis and it is not in CISA KEV, but the vendor advisory (GHSA-72hf-5382-2mq9) confirms the flaw and its fix. | HIGH | 7.7 | 0.2% | 39 |
|
| CVE-2026-34163 | Server-Side Request Forgery (SSRF) in FastGPT's Model Context Protocol (MCP) tools endpoints allows authenticated attackers to probe internal networks, access cloud metadata services (e.g., AWS/GCP instance credentials), and interact with backend databases like MongoDB and Redis. Affects FastGPT versions prior to 4.14.9.5. The vulnerability has CVSS 7.7 (High) with scope change indicating potential lateral movement to other system components. EPSS data not available; no confirmed active exploitation (not in CISA KEV). Public exploit code exists via GitHub security advisory GHSA-x9vj-5m4j-9mfv with technical details and proof-of-concept guidance. | HIGH | 7.7 | 0.0% | 39 |
|
| CVE-2026-42345 | Server-side request forgery in FastGPT (labring) versions 4.14.11 and prior lets a low-privileged user coerce the server into reaching cloud metadata endpoints by defeating the isInternalAddress() blocklist with URL-encoding tricks. The check relies on a fragile fullUrl.startsWith() comparison that at least 7 encoding variants evade, and the deeper private-IP guard is off by default (CHECK_INTERNAL_IP is not 'true'), so requests reach 169.254.169.254-style services unfiltered. There is no public exploit identified at time of analysis, EPSS is negligible (0.03%), and no vendor patch is yet available. | HIGH | 7.7 | 0.0% | 39 |
No patch
|
| CVE-2026-44285 | Server-Side Request Forgery in Labring FastGPT prior to 4.15.0-beta1 lets an authenticated attacker bypass the platform's isInternalAddress network protection and pivot HTTP GET probes into internal services via the dataset preview endpoint. The flaw stems from an incomplete prior fix in the externalFile data import path, scoped-changed impact (S:C) elevates risk to adjacent systems, and no public exploit identified at time of analysis. | HIGH | 7.7 | 0.0% | 39 |
|
| CVE-2026-61644 | Cross-tenant data disclosure in FastGPT 4.14.17 through 4.15.0-beta5 lets a low-privileged tenant user read another tenant's dataset content via the POST /api/core/chat/record/getCollectionQuote endpoint. The endpoint validates the caller's chat and collection context but fails to bind the initialId center-node lookup to that authorized context, so an attacker supplying a foreign dataset data id as initialId (while using their own valid appId, chatId, chatItemDataId, and collectionId) receives the victim tenant's dataset quote or full-text content. This is an authenticated (PR:L) authorization flaw with no public exploit identified at time of analysis and no CISA KEV listing; EPSS data was not provided. | HIGH | 7.7 | 0.2% | 38 |
|
| CVE-2026-54602 | Broken object-level authorization in FastGPT before 4.15.0 lets any authenticated user retrieve another team's LLM interaction traces via GET /api/core/ai/record/getRecord. The endpoint verifies the caller is logged in but fetches records solely by requestId without checking team ownership, exposing cross-tenant prompts, retrieved RAG chunks, and model completions to any user who can guess or obtain a valid requestId. There is no public exploit identified at time of analysis, and it is not listed in CISA KEV, but exploitation requires only a low-privilege account and knowledge of a target requestId. | HIGH | 7.1 | 0.2% | 36 |
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