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IBM Langflow EUVDEUVD-2026-40400

| CVE-2026-10564 HIGH
Server-Side Request Forgery (SSRF) (CWE-918)
2026-06-30 psirt@us.ibm.com GHSA-rqjv-px3w-v3w6
8.2
CVSS 3.1 · Vendor: us
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Authenticate to Langflow or inject malicious prompt
  2. Delivery
    Configure RSSReader/SearXNG with metadata URL
  3. Exploit
    Server issues unvalidated request to 169.254.169.254
  4. Execution
    Bypass 1.9.3 SSRF controls
  5. Persist
    Receive IMDS IAM credentials
  6. Impact
    Pivot into cloud account and internal network

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

Exploitation requires that the deployment use (or expose) the legacy RSSReaderComponent (rss.py) or the SearXNG component (searxng.py), the two components that bypass the SSRF validation added in 1.9.3 - any version 1.0.0 through 1.9.6 is in scope. The attacker must either hold an authenticated Langflow session to configure and run a flow containing these components, or be able to influence an agentic workflow where the components are exposed as tools (tool_mode=True), enabling a prompt-injection trigger. High-value impact specifically requires that the server can reach an internal or cloud-metadata endpoint (e.g., IMDSv1 at 169.254.169.254 reachable and not enforced as IMDSv2). Limiting factors: the description states authentication is needed (conflicting with the NVD PR:N vector), the vulnerable components must be present and enabled, and cloud credential theft depends on reachable, token-less metadata services.

Impact

Signals are mostly consistent toward a real, prioritizable issue but contain one notable conflict. The NVD CVSS 3.1 vector (8.2, AV:N/AC:L/PR:N/UI:N/C:H/I:L) describes a network, low-complexity, no-privilege, high-confidentiality SSRF; however, the description explicitly states 'an authenticated attacker,' which contradicts PR:N - verify the privilege requirement with the vendor, as authentication materially lowers exposure versus a truly unauthenticated flaw. No EPSS score, KEV listing, or POC was supplied, so probability of widespread exploitation cannot be quantified and there is no public exploit identified at time of analysis. The impact is credible and high-value: SSRF into cloud IMDS commonly yields IAM credentials, enabling lateral movement and privilege escalation in cloud deployments, which is why C:H is justified even though availability is unaffected. Net assessment: a meaningful priority for cloud-hosted Langflow instances (especially where metadata service v1 is reachable), but the requirement for an authenticated session and/or an agent path reaching these components tempers the raw-CVSS urgency.

Exploit ScenarioDerived

An authenticated Langflow user - or an attacker who has injected a malicious prompt into an agentic workflow where these components run as tools with tool_mode=True - configures an RSSReader or SearXNG component to fetch http://169.254.169.254/latest/meta-data/iam/security-credentials/. The server makes the request from its own network position, bypassing the 1.9.3 SSRF controls, and returns the cloud IMDS response, exfiltrating temporary IAM credentials that are then used to pivot into the victim's cloud account. No public exploit identified at time of analysis.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.2% exploitation probability (EPSS)

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AnalysisAIv1 – Jun 30, 2026

Server-Side Request Forgery in IBM Langflow OSS 1.0.0 through 1.9.6 lets an attacker coerce the application into making arbitrary HTTP requests via the legacy RSSReaderComponent (rss.py) and the SearXNG component (searxng.py), which fetch user-controlled URLs without validation. These two components bypass the SSRF protections that were added in version 1.9.3, allowing reach into internal resources such as AWS/Azure/GCP instance metadata (IMDS) to steal IAM credentials and enumerate internal networks. The flaw is reachable directly by an authenticated user and indirectly through prompt injection in agentic workflows because the components are exposed with tool_mode=True; no public exploit identified at time of analysis.

RemediationAI

Consult the IBM advisory at https://www.ibm.com/support/pages/node/7277995 for the fixed release; the input does not include an exact patched version, so no vendor-released fixed version is independently confirmed at time of analysis - apply the remediation IBM specifies for builds after 1.9.6. As compensating controls until patched, disable or remove the RSSReaderComponent and SearXNG components from flows and set tool_mode=False so they cannot be invoked as agent tools, accepting that RSS ingestion and SearXNG search features become unavailable. At the infrastructure layer, enforce IMDSv2 (token-required) and block egress from the Langflow host to 169.254.169.254 and other link-local/internal ranges via host firewall or security-group rules, noting that any legitimate metadata or internal-service calls from the app will then break and must be explicitly allowlisted. Finally, restrict and audit who can author or run flows, since authentication is a prerequisite, and place the application behind an egress proxy that allowlists only required external destinations.

Affected VersionsENISA

Langflow OSS 1.0.0 ≤1.9.6

Affected Packages

euvd langflow_oss no fix

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 is an open-source, low-code platform for building LLM/agentic applications by wiring together components. The root cause is CWE-918 (Server-Side Request Forgery): two server-side components accept a URL parameter and issue outbound HTTP requests on the server's behalf without enforcing the URL allow/deny validation that was centrally introduced in 1.9.3. Because the RSSReaderComponent and SearXNG component were not routed through that validation layer, they act as an open proxy from the server's network position. The agentic exposure (tool_mode=True) means these components are also callable by an LLM agent as tools, so attacker-controlled prompt content can drive the same outbound requests - a second, indirect trigger path that broadens the realistic attack surface beyond direct API calls.

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Severity by source

Vendor (us) PRIMARY 8.2 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N
vuln.today AI 7.1 HIGH

Description states an authenticated attacker, so PR:L rather than PR:N; network low-complexity SSRF disclosing cloud credentials/metadata gives C:H with minor I:L and no availability impact.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (us).

CVSS VectorVendor: us

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
Low
Availability
None

DescriptionCVE.org

IBM Langflow OSS 1.0.0 through 1.9.6 contains a Server-Side Request Forgery (SSRF). The legacy RSSReaderComponent in rss.py and SearXNG component in searxng.py make unvalidated HTTP requests to user-controlled URLs, bypassing SSRF protections introduced in version 1.9.3. An authenticated attacker can exploit this to access internal resources including cloud metadata services (AWS/Azure/GCP IMDS), potentially exfiltrating IAM credentials and enumerating internal networks. The vulnerability can also be triggered through prompt injection in agentic workflows due to tool_mode=True exposure.

Executive ViewAI

Why It Matters

IBM Langflow Open Source Software (versions 1.0.0-1.9.6) contains a server-side request forgery vulnerability allowing authenticated users to extract cloud IAM credentials and enumerate internal networks from AWS, Azure, and GCP environments. The vulnerability can also be triggered indirectly through prompt injection in AI workflows, potentially bypassing intended authentication controls. No public exploit has been identified at this time.

Business Impact: High
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations: (1) Implement network segmentation and host-based firewalls blocking access to cloud metadata endpoints (169.254.169.254 for AWS IMDS, Azure IMDS on port 80, GCP metadata server); (2) Disable RSSReaderComponent and SearXNG components if operationally feasible; (3) Restrict outbound HTTP/HTTPS access from Langflow to necessary endpoints only via network policies; (4) Implement strict URL schema validation and deny-list patterns for internal IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 169.254.0.0/16); (5) Rotate and restrict cloud IAM credentials to principle of least privilege; (6) Deploy Web Application Firewall rules to detect and block SSRF attack indicators.

Threat Intelligence Overview

EPSS Score
0.2%
Top 89% exploitable
Prevalence
Medium
popular open-source LLM low-code builder, common but not ubiquitous in production
Data Quality
5 sources
Confidence: Medium

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.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.2%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
Yes
Human Impact
High
Technical Impact
Partial

Priority Score

41
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +41
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.

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