SSRF in PraisonAI Chromium Backend via DNS Rebinding

PraisonAI versions before 1.6.78 contain a server-side request forgery vulnerability in the Crawl4AI/Chromium backend that allows attackers to bypass SSRF validation by exploiting DNS rebinding and HTTP redirects. Attackers can craft URLs that resolve to internal services after the initial validation check, enabling the headless browser to follow redirects and read internal responses including sensitive canary values.

Casky was already ahead

This CVE exploits attack patterns that Casky's 331matched 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

PraisonAI versions before 1.6.78 suffer from a server-side request forgery (SSRF) vulnerability in their Crawl4AI/Chromium integration that undermines standard validation mechanisms. Attackers exploit DNS rebinding and HTTP redirect chains to bypass initial URL validation checks, allowing a headless browser to access internal services and exfiltrate sensitive data such as canary tokens and other confidential responses. This vulnerability affects organizations deploying PraisonAI for web crawling and automation tasks, particularly those exposing the platform to untrusted input or operating in environments with internal service dependencies. With a CVSS score of 8.5, this represents a high-risk exposure that can lead to lateral movement, credential theft, and reconnaissance of internal infrastructure.

Casky's 331 matching skills leverage Claude's extended reasoning to detect the attack patterns underlying this vulnerability by analyzing MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0006 (Credential Access). Practitioners using Casky would observe findings related to suspicious URL patterns that bypass validation (such as IPs resolving post-validation or redirect chains to 127.0.0.1/169.254.x.x ranges), abnormal HTTP client behavior from the Chromium backend requesting internal endpoints, and exfiltration of sensitive headers or environment variables. The platform's skill set would flag attempts to chain validation bypass techniques with internal service enumeration, enabling security teams to identify both active exploitation attempts and misconfigurations in their PraisonAI deployments before sensitive data is compromised.

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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 →

331 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-61429.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0006

Investigate the attack patterns behind CVE-2026-61429

Casky has 331 skills that investigate the attack patterns behind CVE-2026-61429. Run one and get CVSS-scored findings in 3 minutes.

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