Vulnerabilities
17 CVEs · NVD, GitHub Advisories, CISA KEV, FIRST EPSS, GitHub PoC repos
| CVE | Vulnerability | CVSS | EPSS | Flags | Affected | Exposure | Published |
|---|---|---|---|---|---|---|---|
| CVE-2026-90580 | Server-Side Request Forgery in FlowiseAI Flowise Evaluations Endpoint FlowiseAI Flowise up to version 3.0.2 contains a server-side request forgery (SSRF) flaw in the Evaluations Endpoint, specifically in the axios.post call within packages/server/src/controllers/evaluations/index.ts. A remote attacker who manipulates the Host or X-Forwarded-Proto headers can trick the server into issuing requests toward attacker-influenced destinations, potentially reaching internal services, cloud metadata endpoints, or other network resources reachable from the Flowise host. The CVSS 4.0 vector indicates low privileges are required (PR:L), so an attacker needs at least limited authenticated access to the Flowise instance, and overall impact is rated low (2.1). Only Flowise versions that are no longer supported by the maintainer are affected, and a public exploit reference exists as a GitHub issue on the Flowise repository. EPSS is very low (0.2%, 12th percentile), the issue is not in the CISA KEV catalog, and no active exploitation in the wild has been reported. Do: Upgrade Flowise to version 3.1.3 or later, which contains the patch (commit 700137738bcaebefd4709021f6d6b0abcd7df0ac); since affected versions are unsupported, running them long-term is not viable. If upgrading is delayed, restrict access to the evaluations endpoint to trusted authenticated users, avoid blindly trusting Host/X-Forwarded-Proto headers from untrusted proxies, and egress-filter the Flowise server so it cannot reach internal services or metadata endpoints. Review server logs for unexpected outbound requests originating from the evaluations controller as evidence of exploitation attempts. | 2.1 | <1% | PoC |
| moderate≈ low thousands of internet-exposed self-hosted Flowise deployments | |
| CVE-2026-90535 | Unauthenticated Denial of Service in Flowise Text-to-Speech Abort Endpoint Flowise versions before 3.1.4 contain a missing-authorization flaw (CWE-862) in the /api/v1/text-to-speech/abort endpoint, which accepts user-supplied chatflowId and chatId values without verifying that the requester owns the session. An unauthenticated remote attacker who knows or guesses valid identifiers can submit abort requests that terminate other users' active chatflow predictions, causing targeted service disruption. The impact is limited to availability of individual chat sessions (CVSS 4.0: 6.3, medium) with no confidentiality or integrity impact. Anyone running a self-hosted Flowise instance on a version prior to 3.1.4, especially one exposed to untrusted networks, is affected. Exploitation status: a public advisory/PoC reference exists, EPSS is very low (0.2%, 16th percentile), and the flaw is not in the CISA KEV catalog, so no in-the-wild exploitation is known. Do: Upgrade Flowise to version 3.1.4 or later, where ownership verification for the abort endpoint is enforced. If immediate patching is not possible, place Flowise behind an authenticating reverse proxy or restrict network access so unauthenticated callers cannot reach /api/v1/text-to-speech/abort. Review application logs for abort requests referencing chatflowId/chatId values not associated with legitimate sessions as an indicator of abuse. | 6.3 group max | <1% | PoC |
| moderatelikely 1,000–10,000 internet-exposed self-hosted Flowise instances | |
| CVE-2026-52098 | Unauthenticated RCE in Flowise via /api/v1/prediction/ API Flowise 3.1.2 contains an improper code generation control flaw (CWE-94, code injection) in its /api/v1/prediction/ API endpoint. A remote, unauthenticated attacker can send a crafted request to this endpoint to execute arbitrary code on the server hosting Flowise, achieving full confidentiality, integrity, and availability impact (CVSS 9.8) under the application's privileges. Only version 3.1.2 is named in the available data; the full range of affected versions and any patched release are not specified. As of the provided data, the issue is not listed in CISA's KEV and no public proof-of-concept or confirmed in-the-wild exploitation is known. The critical rating reflects that the flaw is network-reachable with no privileges or user interaction required. Do: Inventory Flowise deployments and identify any running version 3.1.2; upgrade to a patched release as soon as the vendor publishes one (no fixed version is named in the current data), and monitor the Flowise GitHub repository for an official advisory. Until patched, restrict access to /api/v1/prediction/ by enforcing authentication, binding the service to internal interfaces, or adding reverse-proxy/firewall rules. Review logs for unexpected or unauthenticated requests to that endpoint as a sign of probing or exploitation. | 9.8 | — |
| moderate≈1,000–10,000 internet-exposed instances; total installs likely higher (self-hosted Docker/npm deployments) | ||
| CVE-2026-9216 | An insufficient input validation vulnerability in the listed NETGEAR RAX series models allows a network-adjacent attacker having network access (such as WiFi cr An insufficient input validation vulnerability in the listed NETGEAR RAX series models allows a network-adjacent attacker having network access (such as WiFi credentials) to crash the router's management UI. There is no confidentiality or integrity impact. A crash of the router's management UI does not impact the availability of the router's core services like WiFi network. NVD description · AI analysis pending | 1.2 | <1% |
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| CVE-2026-9215 | A cross site request forgery (CSRF) vulnerability in the listed NETGEAR models allows an attacker who can leverage social engineering techniques on a router adm A cross site request forgery (CSRF) vulnerability in the listed NETGEAR models allows an attacker who can leverage social engineering techniques on a router administrator to tamper with router configuration and disrupt router operations with active assistance from the router administrator. There is no confidentiality impact due to this vulnerability. NVD description · AI analysis pending | 1.8 | <1% |
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| CVE-2026-86429 | Quadratic Parsing DoS in league/commonmark SmartPunct/Attributes Extensions The league/commonmark PHP Markdown parsing library (versions >= 1.5.0 and < 2.9.1) contains quadratic parsing complexity (CWE-407) in its SmartPunctExtension and AttributesExtension. The flaw is only triggered when one of these extensions is explicitly registered on a custom Environment — they are not enabled by default and are excluded from the standard CommonMark and GitHub-Flavored Markdown converters — and an unauthenticated attacker who can submit Markdown to such a deployment can trigger it with small crafted documents (e.g., text alternating with unpaired quotes, runs of block-level attribute blocks, or repeated class attributes). The attacker gains a denial of service: disproportionate CPU consumption degrades or stalls the rendering process, with no confidentiality or integrity impact (CVSS 4.0 8.7 High, availability-only). Affected parties are PHP applications and services that use the library in the affected range and have either extension explicitly enabled while accepting untrusted Markdown. There is currently no known exploitation, no public proof-of-concept, no entry in CISA KEV, and a low EPSS score of 0.3%. Do: Upgrade league/commonmark to 2.9.1 or later. If upgrading is not immediately possible, remove or unregister the SmartPunct and Attributes extensions from custom Environments, or rate-limit/CPU-limit rendering of untrusted Markdown. Audit composer dependency trees for versions >= 1.5.0 and < 2.9.1 and review Environment configuration for SmartPunctExtension or AttributesExtension usage. | 8.7 group max | <1% |
| large≈ tens of thousands of applications/sites (est.; only deployments with SmartPunct or Attributes explicitly enabled and untrusted Markdown input) | ||
| CVE-2026-60004 | Unauthenticated RCE in Gitea via diffpatch API Git Hook Injection Gitea before 1.27.1 contains a critical code injection flaw (CWE-94) in the diffpatch API that allows remote code execution by causing the installation of a Git hook. An attacker can submit a crafted request through the diffpatch API to plant a Git hook, which then executes arbitrary shell commands on the server when Git operations run; the CVSS vector indicates the attack requires no authentication or user interaction, while public reporting describes attackers with repository write access planting hooks to run shell commands. Successful exploitation yields full server compromise (confidentiality, integrity, and availability all rated high), and observed attacks have reportedly dropped a cryptocurrency miner. All Gitea deployments running versions prior to 1.27.1 are affected, with internet-facing instances at greatest risk; public scans identified over 8,300 vulnerable Gitea servers. The flaw is actively exploited in the wild: CISA added it to the Known Exploited Vulnerabilities catalog on 2026-08-25, and EPSS estimates an 86.8% probability of exploitation within 30 days. Do: Upgrade Gitea to version 1.27.1 or later immediately; organizations subject to BOD 26-04 must apply the vendor mitigation or discontinue use of unpatched cloud-hosted instances. Until patched, limit internet exposure of Gitea servers and inspect repository hook directories for unauthorized or recently modified hooks that could serve as persistence. Check for signs of compromise, including unexpected processes or cryptocurrency-miner activity, since in-the-wold attacks reportedly deploy a miner. | 9.8 | 87% | KEV PoC ×4 |
| moderate≈8,300+ internet-exposed Gitea servers (public scan count) | |
| CVE-2026-18298 | GStreamer PNG File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability. GStreamer PNG File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GStreamer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of PNG files. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a heap-based buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-29581. NVD description · AI analysis pending | 7.8 | <1% |
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