CVE-2026-4010

March 12, 2026, 9:07 p.m.

4.8
Medium

Description

A vulnerability was found in ThakeeNathees pocketlang up to cc73ca61b113d48ee130d837a7a8b145e41de5ce. The affected element is the function pkByteBufferAddString. The manipulation of the argument length with the input 4294967290 results in memory corruption. The attack requires a local approach. The exploit has been made public and could be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The project was informed of the problem early through an issue report but has not responded yet.

Product(s) Impacted

Vendor Product Versions
Thakeenathee
  • Pocketlang
  • *

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 thakeenathee pocketlang / / / / / / / /

CVSS Score

4.8 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: LOW
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/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: March 12, 2026, 8:16 a.m.
Last Modified: March 12, 2026, 9:07 p.m.

Status : Awaiting Analysis

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.