CVE-2025-62525
Published: 22 October 2025
Summary
CVE-2025-62525 is a high-severity Improper Input Validation (CWE-20) vulnerability in Openwrt Openwrt. Its CVSS base score is 7.9 (High).
Operationally, ranked at the 8.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-35592
Vulnerability details
OpenWrt Project is a Linux operating system targeting embedded devices. Prior to version 24.10.4, local users could read and write arbitrary kernel memory using the ioctls of the ltq-ptm driver which is used to drive the datapath of the DSL…
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line. This only effects the lantiq target supporting xrx200, danube and amazon SoCs from Lantiq/Intel/MaxLinear with the DSL in PTM mode. The DSL driver for the VRX518 is not affected. ATM mode is also not affected. Most VDSL lines use PTM mode and most ADSL lines use ATM mode. OpenWrt is normally running as a single user system, but some services are sandboxed. This vulnerability could allow attackers to escape a ujail sandbox or other contains. This is fixed in OpenWrt 24.10.4. There are no workarounds.
- 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.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Out-of-bounds writes that corrupt control flow or inject shellcode are rendered non-executable by the same memory protections.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.