🛡️ CVE-2025-25522 — wap610n-firmware
Description
Buffer overflow vulnerability in Linksys WAP610N v1.0.05.002 due to the lack of length verification, which is related to the time setting operation. The attacker can directly control the remote target device by successfully exploiting this vulnerability.
How this vulnerability can be exploited
This issue can be reached with local access to the system, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality low, integrity high, availability low.
Weakness class
CVE-2025-25522 is classified as CWE-120: Classic Buffer Overflow. Input is copied into a fixed-size buffer without a length check, overwriting memory past the end of it.
Affected software
CVE-2025-25522 is recorded against 1 package.
- wap610n-firmware
Timeline and source
Published on 11 February 2025 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.
References
Details
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:L
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| wap610n-firmware | — | — |
References
More CVE 2025 advisories
Browse all of CVE 2025 in the advisory index.
Site Security Check
Is wap610n-firmware part of your stack?
CVE-2025-25522 is rated CVSS 7.3 High. BotEraser scans your installation against known CVE records and tells you whether this vulnerability applies to the versions you actually run.
Scan My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.