Insecure Direct Object References in IBM Langflow Authentication Bypass

IBM Langflow OSS 1.0.0 through 1.9.1 could allow an authenticated user to read or modify sensitive information by bypassing authentication using insecure direct object references.

Casky was already ahead

This CVE exploits attack patterns that Casky's 261matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

IBM Langflow OSS versions 1.0.0 through 1.9.1 contain an insecure direct object reference (IDOR) vulnerability that allows authenticated users to bypass authorization controls and access or modify sensitive information they shouldn't have permission to view. This vulnerability is particularly concerning because it affects an open-source LLM orchestration platform that organizations may deploy across multiple environments. While requiring initial authentication, the flaw enables privilege escalation and lateral movement, making it especially dangerous in multi-tenant deployments or shared environments where different users or teams operate within the same instance. Organizations running vulnerable versions face risks including unauthorized data exposure, configuration tampering, and potential supply chain impacts if Langflow instances process or manage critical workflows.

Casky's 261 matched skills detect attack patterns associated with this vulnerability by correlating MITRE techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access) through Claude's extended reasoning capabilities. Practitioners using Casky would identify suspicious behavioral patterns including: repeated requests to object references with incrementally modified identifiers, access to resources outside a user's assigned scope, and modifications to configurations or data without corresponding privilege grants. The platform's skills map reconnaissance activities around object enumeration, authentication state analysis, and authorization boundary testing—allowing security teams to spot adversaries systematically probing Langflow endpoints. Findings would highlight the specific endpoints vulnerable to IDOR exploitation, track which authenticated sessions are accessing unauthorized resources, and correlate these patterns against known attack methodologies to distinguish genuine business operations from exploitation attempts.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

261 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-7787.

analyzing-cloud-storage-access-patterns

cloud security · low

Run

analyzing-kubernetes-audit-logs

container security · low

Run

analyzing-malicious-url-with-urlscan

phishing defense · medium

Run

MITRE ATT&CK Techniques

TA0004 TA0006

Investigate the attack patterns behind CVE-2026-7787

Casky has 261 skills that investigate the attack patterns behind CVE-2026-7787. Run one and get CVSS-scored findings in 3 minutes.

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