CVE-2025-34233
Published: 29 September 2025
Summary
CVE-2025-34233 is a high-severity SSRF (CWE-918) vulnerability in Vasion Virtual Appliance Application. Its CVSS base score is 8.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Service Discovery (T1046); ranked at the 26.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-31636
Vulnerability details
Vasion Print (formerly PrinterLogic) Virtual Appliance Host prior to version 25.1.102 and Application prior to version 25.1.1413 (VA/SaaS deployments) contain a protection mechanism failure vulnerability within the file_get_contents() function. When an administrator configures a printer’s hostname (or similar callback field),…
more
the value is passed unchecked to PHP’s file_get_contents()/cURL functions, which follow redirects and impose no allow‑list, scheme, or IP‑range restrictions. An admin‑level attacker can therefore point the hostname to a malicious web server that issues a 301 redirect to internal endpoints such as the AWS EC2 metadata service. The server follows the redirect, retrieves the metadata, and returns or stores the credentials, enabling the attacker to steal cloud IAM keys, enumerate internal services, and pivot further into the SaaS infrastructure. This vulnerability has been confirmed to be remediated, but it is unclear as to when the patch was introduced.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF via unchecked file_get_contents() allows admin attacker to redirect requests to internal endpoints like AWS EC2 metadata, enabling network/cloud service discovery (T1046, T1526, T1522) and cloud credential theft (T1552.005).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.