CVE-2026-10179

June 1, 2026, 3:15 p.m.

7.4
High

Description

A flaw has been found in TRENDnet TEW-432BRP 3.10B20. This issue affects the function formSetWlanEncrypt of the file /goform/formSetWlanEncrypt. This manipulation of the argument webpage causes stack-based buffer overflow. It is possible to initiate the attack remotely. The exploit has been published and may be used. The vendor explains: "This product has been EOL for 15 years (since 2009). As the item has been EOL for such a long time, we are not able to replicate or fix any vulnerabilities." This vulnerability only affects products that are no longer supported by the maintainer.

Product(s) Impacted

Vendor Product Versions
Trendnet
  • Tew-432brp
  • 3.10b20

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-119
Improper Restriction of Operations within the Bounds of a Memory Buffer
The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a trendnet tew-432brp 3.10b20 / / / / / / /

CVSS Score

7.4 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: May 31, 2026, 11:16 a.m.
Last Modified: June 1, 2026, 3:15 p.m.

Status : Deferred

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.