CVE-2026-13446: IBM Langflow Hardcoded Credentials (CVSS 9.8)

Executive Summary

A critical hardcoded credentials vulnerability has been disclosed in IBM Langflow OSS, a popular open-source AI workflow platform. Tracked as CVE-2026-13446 with a CVSS score of 9.8, the flaw affects all Langflow OSS versions from 1.0.0 through 1.10.1. Hardcoded passwords and cryptographic keys are embedded in the application and can be leveraged by unauthenticated attackers for inbound authentication bypass, interception of outbound communications to external components, or decryption of internally stored data.

CVSS Score: 9.8 (Critical)

Vulnerability Overview

Root Cause

IBM Langflow OSS uses static, hardcoded credentials — including passwords and cryptographic keys — baked directly into its source code. These credentials are used for:

1. Inbound authentication — allowing access to the platform's API and management interfaces
2. Outbound communication — authenticating with external components or services
3. Internal data encryption — protecting sensitive stored data

Because these credentials are hardcoded and shipped in all affected versions, any attacker who obtains the source code (which is publicly available, as Langflow is open source) can immediately derive the credentials and authenticate as a legitimate system component.

Affected Versions

Impact Assessment

Why Hardcoded Credentials Are Critical

Hardcoded credentials represent one of the most severe classes of vulnerability:

• Universal applicability: All installations share the same credentials — one key unlocks every instance
• Trivial exploitation: No fuzzing or brute-force required; credentials are static and discoverable from source
• No authentication barrier: An attacker can authenticate as a trusted system component without any prior access
• Broad attack surface: Langflow is an AI workflow orchestration platform — compromise can expose API keys, model configurations, connected data sources, and agentic pipeline logic

Potential Attack Scenarios

1. Authentication bypass: Attacker uses hardcoded credentials to access Langflow's API, management dashboard, or internal services
2. Data decryption: If hardcoded keys protect stored secrets (e.g. API keys for AI providers, database credentials), an attacker can decrypt and exfiltrate them
3. Outbound impersonation: Credentials used for outbound communication to external components can be replayed to impersonate the Langflow instance
4. Supply chain pivot: Compromising a Langflow instance that is integrated with AI models (e.g. OpenAI, Anthropic, Hugging Face) can pivot into those provider accounts

Remediation

Immediate Actions

1. Upgrade to a patched version as soon as IBM releases a fix above 1.10.1 — monitor the IBM Security Bulletin and the Langflow GitHub repository
2. Network isolation: Restrict Langflow instances to internal networks or VPNs — do not expose directly to the internet
3. Credential rotation: Rotate all secrets stored within or connected to Langflow (AI provider API keys, database credentials, integration tokens) as they should be considered compromised
4. Audit access logs: Review Langflow access logs for unauthorized authentication attempts or anomalous API calls

Configuration Hardening

• Disable any unused outbound integrations while a patch is applied
• Enable network-level authentication (firewall rules, mTLS, zero-trust access proxy) in front of the Langflow service
• Monitor for abnormal outbound connections from Langflow instances

Detection

Indicators to Monitor

Key Takeaways

1. CVSS 9.8 Critical — hardcoded credentials enable unauthenticated access to all Langflow OSS 1.0.0–1.10.1 deployments
2. Credentials are publicly derivable from open-source code — exploitation requires no special tooling
3. Rotate all connected secrets immediately — API keys, database credentials, and integration tokens should be treated as compromised
4. Isolate instances from internet exposure pending a vendor patch
5. Monitor for anomalous authentication and outbound activity

References

• NVD — CVE-2026-13446
• IBM Security Bulletins
• Langflow GitHub Repository
• CWE-798: Use of Hard-coded Credentials