Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessIdentify internet-exposed Langflow OSS instance
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DeliverySend unauthenticated HTTP request with SSRF payload URL
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ExploitServer fetches attacker-specified internal/metadata endpoint
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ExecutionRead sensitive data from server response
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ImpactLeverage harvested credentials or internal data for further access
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Credential Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | No special conditions beyond network reachability - the CVSS vector (AV:N/AC:L/PR:N/UI:N) confirms remote unauthenticated exploitation against any network-accessible instance of IBM Langflow OSS 1.0.0-1.11.5. Exploitation impact is bounded by what internal or cloud-adjacent services are reachable from the Langflow host: deployments without cloud metadata service access or internal API exposure will see limited confidentiality impact despite the high CVSS C:H rating. Exploitation is limited to confidentiality (read access) with no integrity or availability impact based on the CVSS vector. |
| Impact | CVSS 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N) reflects a network-accessible, zero-authentication SSRF with high confidentiality impact. The low attack complexity and absence of required privileges or user interaction make this automatable at scale - any internet-exposed Langflow instance is potentially in scope. Real-world risk is highly deployment-sensitive: instances running in cloud environments (AWS, Azure, GCP) with accessible metadata services face significantly elevated risk because successful SSRF can harvest IAM role credentials, enabling privilege escalation beyond the Langflow instance. Instances running air-gapped or behind authenticated proxies have substantially reduced exposure. EPSS data is not provided; no KEV listing and no public POC further temper immediate threat urgency, though AI orchestration platforms are increasingly targeted by automated scanning. The absence of integrity and availability impact in the CVSS vector is consistent with typical SSRF read-only behavior. |
| Exploit ScenarioDerived | An unauthenticated attacker sends a crafted HTTP request to an internet-exposed IBM Langflow OSS instance, supplying a URL pointing to the AWS instance metadata endpoint (http://169.254.169.254/latest/meta-data/iam/security-credentials/). The Langflow server fetches the URL on the attacker's behalf and returns or leaks the response, exposing IAM role credentials that the attacker then uses to authenticate directly to AWS APIs. No public exploit code has been identified, but the technique is well-documented for SSRF against cloud-hosted services. |
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Alert meAnalysisAIv1 – Sep 10, 2026
Server-Side Request Forgery in IBM Langflow OSS 1.0.0 through 1.11.5 allows unauthenticated remote attackers to coerce the server into issuing arbitrary outbound HTTP requests, exposing internal network services, cloud metadata endpoints (e.g., AWS IMDSv1 at 169.254.169.254), and other resources inaccessible to the attacker directly. The CVSS vector (AV:N/AC:L/PR:N/UI:N/C:H) confirms this requires no authentication and trivial network access, with high confidentiality impact. No public exploit has been identified at time of analysis, and the vulnerability is not listed in CISA KEV.
RemediationAI
IBM has released a patch; consult the vendor advisory at https://www.ibm.com/support/pages/node/7286665 for the exact patched version and upgrade instructions. The advisory should be checked to confirm the minimum safe version, as the specific fix version is not enumerated in currently available data. If immediate patching is not feasible, implement egress filtering on the Langflow server host to block outbound requests to RFC 1918 address ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16), link-local addresses (169.254.0.0/16), and loopback (127.0.0.0/8) - note this may break legitimate integrations with internal APIs. In cloud deployments, enforce IMDSv2 (requiring session-oriented token headers) to mitigate metadata-service exposure as a compensating control. Additionally, placing Langflow behind an authenticating reverse proxy reduces the unauthenticated attack surface, though it does not eliminate the underlying SSRF.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
CWE-918 (Server-Side Request Forgery) occurs when a server-side application fetches a remote resource based on attacker-controlled input without validating or restricting the destination URL. IBM Langflow OSS (CPE: cpe:2.3:a:ibm:langflow_oss:*:*:*:*:*:*:*:*) is IBM's distribution of the open-source Langflow AI workflow orchestration platform, which allows visual construction of AI pipelines connecting LLMs, APIs, and external data sources. AI orchestration platforms are particularly high-value SSRF targets because they are frequently deployed in cloud environments with broad network egress and often execute user-defined API calls - providing natural SSRF injection points - and may run with cloud IAM roles whose credentials are accessible via instance metadata services.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Network-accessible, no auth required (PR:N), SSRF is read-only with no integrity or availability impact; scope unchanged as exploitation stays within the Langflow process boundary.
Primary rating from Vendor (ibm).
CVSS VectorVendor: ibm
DescriptionCVE.org
IBM Langflow OSS 1.0.0 through 1.11.5.
Executive ViewAI
IBM Langflow OSS versions 1.0.0 through 1.11.5 contain an unauthenticated Server-Side Request Forgery vulnerability allowing remote attackers to access internal network services and cloud credential endpoints. Organizations running these versions face direct exposure of AWS metadata endpoints, internal databases, and backend systems accessible only to the Langflow server. This enables credential theft and lateral network movement without authentication or user interaction.
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Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.
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EUVD-2026-75778
GHSA-j99h-p584-x29h
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB