CVE Catalog

CVE-2026-55524

HighCVSS 7.5
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.19%

9th percentile - higher than 9% of all known CVEs

Summary

PraisonAI before version 1.6.58 contains an SSRF vulnerability in the web_crawl tool. The protection only checks the initial URL, but after redirects or DNS rebinding it connects to internal addresses such as loopback, private networks, or cloud metadata. An attacker can influence the URL passed to web_crawl to obtain responses from these internal resources.

Risk Assessment

The risk is the possibility of accessing internal network resources and cloud metadata, which could lead to data leakage or privilege escalation in the environment where PraisonAI runs.

Recommendation

It is recommended to immediately upgrade PraisonAI to version 1.6.58 or later, which includes a fix for this vulnerability.

Other vulnerabilities in PraisonAI

See all
Original NVD description (English source)

PraisonAI is a multi-agent teams system. In versions prior to 1.6.58, the web_crawl tool performs its SSRF check only on the initially supplied URL, allowing the protection to be bypassed so the tool connects to attacker-chosen internal destinations. The check resolves the hostname once with socket.gethostbyname and rejects private/loopback/link-local results, but then passes the URL to a fetcher using httpx.Client(follow_redirects=True) (or urllib.request.urlopen when httpx is absent, which also follows redirects) that re-resolves the hostname at connect time with no further validation. This validate-here/fetch-there gap is exploitable through both HTTP redirects and DNS rebinding. If an attacker can influence URLs passed to web_crawl(), directly or through an agent/tool workflow, they can cause the PraisonAI host to fetch loopback, private-network, or cloud metadata endpoints reachable from that host, with the response body returned in the web_crawl() result. This issue has been fixed in version 1.6.58.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS