Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessIdentify network-accessible Langflow endpoint
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DeliveryCraft SSRF payload targeting internal URL
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ExploitSubmit payload to vulnerable Langflow API
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ExecutionServer issues HTTP request to attacker-specified target
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PersistInternal resource or cloud IMDS responds
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ImpactAttacker receives sensitive credential or configuration data
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 | Per the CVSS vector (PR:N/UI:N/AV:N/AC:L), this is exploitable by an unauthenticated remote attacker against a network-accessible Langflow instance with no user interaction required and low attack complexity. The primary limiting factor is network exposure: Langflow deployments restricted to internal networks or behind authentication proxies are substantially harder to reach. The practical sensitivity of what can be exfiltrated depends heavily on the deployment environment - instances running in cloud environments with reachable IMDS endpoints, or with access to internal HTTP services, face the highest impact. Langflow's own documented default configuration does not enforce authentication on all endpoints in earlier versions, consistent with the PR:N assessment. |
| Impact | The vendor-provided CVSS 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N) flags this as high severity, and the signal is credible: unauthenticated, low-complexity, remotely exploitable with high confidentiality impact aligns well with an SSRF that can reach cloud metadata services. However, the S:U (unchanged scope) assignment arguably understates SSRF impact - exploitation inherently pivots into resources beyond the vulnerable component's own authorization boundary, which typically warrants S:C. The EPSS score of 0.29% (21st percentile) indicates very low current exploitation probability, consistent with the SSVC 'Exploitation: none' assessment. The SSVC 'Automatable: yes' signal reflects that once the vulnerable endpoint is identified, the exploitation process requires no human interaction, lowering barrier for mass scanning. Technical Impact is rated 'partial' (not 'total') aligning with C:H only. The overall real-world priority depends heavily on deployment context: internet-exposed Langflow instances with access to cloud IMDS or internal services face materially higher risk than air-gapped or internally-only-accessible deployments. No active exploitation or public POC has been identified. |
| Exploit ScenarioDerived | An unauthenticated attacker sends a crafted HTTP request to an exposed Langflow API endpoint that accepts a URL as part of a workflow node configuration or execution parameter. The Langflow server, acting on the attacker-controlled URL, makes an outbound request to http://169.254.169.254/latest/meta-data/iam/security-credentials/ on a cloud-hosted deployment, receiving IAM role credentials that are returned to the attacker. No public exploit code has been identified at time of analysis, but the attack pattern is well-understood and the SSVC 'Automatable: yes' rating reflects that scanning for this class of flaw requires no manual interaction. |
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Alert meAnalysisAIv2 – Sep 08, 2026
Server-side request forgery in IBM Langflow OSS 1.0.0 through 1.11.2 allows unauthenticated remote attackers to induce the server to issue HTTP requests to attacker-controlled destinations, enabling exfiltration of sensitive information from internal network resources, cloud metadata endpoints, or the application's own environment. The CVSS vector (PR:N/AV:N/AC:L) indicates this is exploitable without authentication at low complexity, which is notable for an AI workflow platform likely deployed with access to cloud infrastructure credentials. No public exploit code or active exploitation has been identified at time of analysis, though the automatable SSVC signal and high confidentiality impact make this a meaningful exposure in cloud-hosted or hybrid deployments.
Earlier versions of this analysis (1)
Server-side request forgery in IBM Langflow OSS 1.0.0 through 1.11.2 enables unauthenticated remote attackers to pivot the application server into an internal network scout, retrieving sensitive information from resources unreachable by the attacker directly. The CVSS scope-change metric (S:C) reflects that exploitation crosses trust boundaries - the Langflow application server acts as a proxy to reach cloud metadata endpoints, internal APIs, or adjacent services. No public exploit code has been identified at time of analysis, but IBM has released a vendor advisory and patch.
RemediationAI
Apply the vendor-released patch per the IBM security advisory at https://www.ibm.com/support/pages/node/7285639. The advisory does not specify the exact fixed version in the available data, so consult that page directly for the current patched release beyond 1.11.2. If immediate patching is not feasible, restrict network-level access to Langflow endpoints using firewall rules or API gateway policies so that only trusted clients can interact with flow execution APIs. In cloud environments, enforce IMDSv2 (hop-limit=1 on AWS, require metadata headers) to limit the practical value of SSRF against cloud metadata services - this does not eliminate the vulnerability but substantially reduces its impact. Additionally, consider configuring egress filtering on the Langflow host to allowlist only required upstream endpoints, blocking outbound requests to RFC-1918 and link-local address spaces. Note that egress filtering is a defense-in-depth control, not a substitute for patching.
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
Langflow OSS is an open-source visual framework for constructing AI and LLM-powered pipelines, built atop LangChain and similar tooling. IBM distributes a supported version (IBM Langflow OSS). The affected product is identified via CPE cpe:2.3:a:ibm:langflow_oss covering versions 1.0.0 through 1.11.2. CWE-918 (Server-Side Request Forgery) describes a class of flaw where the application accepts URLs or network locations from user-controlled input and uses them in server-initiated requests without adequate validation or allowlisting. In the context of Langflow, this likely manifests through flow components, node inputs, or API endpoints that accept URLs as part of workflow execution. Because Langflow is commonly deployed with access to cloud provider APIs and often runs in environments where IMDS (Instance Metadata Service) endpoints such as http://169.254.169.254 are reachable, SSRF can be particularly damaging by leaking cloud credentials, IAM roles, or internal service responses.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
SSRF pivots through the vulnerable server into out-of-scope internal resources, warranting S:C; PR:N per IBM's CVSS; C:H for credential/data exposure.
Primary rating from Vendor (ibm).
CVSS VectorNVD
Lifecycle Timeline
3DescriptionNVD
IBM Langflow OSS 1.0.0 through 1.11.2 could allow a remote attacker to obtain sensitive information due to server-side request forgery.
Executive ViewAI
IBM Langflow open-source versions 1.0.0 through 1.11.2 contain an unauthenticated server-side request forgery vulnerability allowing remote attackers to exfiltrate sensitive data from internal networks and cloud metadata endpoints. Organizations running Langflow in cloud or hybrid deployments face direct exposure of infrastructure credentials and internal service configurations, as the flaw requires no authentication and operates at network accessibility. This poses an immediate risk to organizations leveraging Langflow for AI workflows with access to cloud provider credentials or internal service endpoints.
Apply vendor patch. Pending patching, restrict egress network access from Langflow instances to explicitly whitelisted destination endpoints and disable access to cloud metadata service endpoints.
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-2026-71262
GHSA-g569-3cp3-jxr8
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB