CVE-2025-34047
Published: 26 June 2025
Summary
CVE-2025-34047 is a high-severity Improper Input Validation (CWE-20) vulnerability in Org (inferred from references). Its CVSS base score is 8.7 (High).
Operationally, ranked in the top 15.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
A path traversal vulnerability exists in the Leadsec SSL VPN, formerly known as Lenovo NetGuard. The flaw resides in the /vpn/user/download/client endpoint and is triggered by the ostype parameter, where insufficient input sanitization allows traversal sequences to escape the intended directory and read arbitrary files on the underlying system. It is tracked under CWE-20 and CWE-22 with a CVSS 4.0 score of 8.7.
Unauthenticated remote attackers can exploit the issue without any user interaction or credentials to retrieve sensitive files, including configuration data or other restricted content hosted on the VPN appliance.
Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC. The EPSS score stands at 0.0203 with an identical peak value and no material rise. Public references point to CNVD-2021-64035 along with detection templates and vendor information at leadsec.com.cn, though no specific patch or mitigation details are provided in the available sources.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-27845
Vulnerability details
A path traversal vulnerability exists in the Leadsec SSL VPN (formerly Lenovo NetGuard), allowing unauthenticated attackers to read arbitrary files on the underlying system via the ostype parameter in the /vpn/user/download/client endpoint. This flaw arises from insufficient input sanitation, enabling…
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traversal sequences to escape the intended directory and access sensitive files. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.