Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:NSummary
CVE-2026-34954 is a high-severity SSRF (CWE-918) vulnerability in Praison Praisonaiagents. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 34th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-34954 is a server-side request forgery vulnerability (CWE-918) affecting PraisonAI, a multi-agent teams system, in versions prior to 1.5.95. The issue resides in the FileTools.download_file() function within the praisonaiagents component, which validates the destination path but performs no validation on the URL parameter. This URL is passed directly to httpx.stream() with follow_redirects=True, enabling unintended network requests.
An unauthenticated remote attacker (AV:N/AC:L/PR:N/UI:N) who can control the URL parameter—such as through user-supplied input to the function—can exploit this vulnerability to force the server to connect to arbitrary hosts reachable from its network context. This includes cloud metadata services and internal network services, potentially allowing high confidentiality impact through data exfiltration (CVSS:3.1 score of 8.6 with scope changed and no integrity or availability impact).
The vulnerability has been addressed in PraisonAI version 1.5.95. Additional details on the patch and remediation are available in the GitHub security advisory at https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-44c2-3rw4-5gvh.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-18927
Vulnerability Data
PraisonAI is a multi-agent teams system. Prior to version 1.5.95, FileTools.download_file() in praisonaiagents validates the destination path but performs no validation on the url parameter, passing it directly to httpx.stream() with follow_redirects=True. An attacker who controls the URL can reach…
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any host accessible from the server including cloud metadata services and internal network services. This issue has been patched in version 1.5.95.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.