CVE-2026-3664

March 7, 2026, 3:15 p.m.

4.8
Medium

Description

A vulnerability was determined in xlnt-community xlnt up to 1.6.1. Impacted is the function xlnt::detail::compound_document::read_directory of the file source/detail/cryptography/compound_document.cpp of the component Encrypted XLSX File Parser. Executing a manipulation can lead to out-of-bounds read. The attack is restricted to local execution. The exploit has been publicly disclosed and may be utilized. This patch is called 147. Applying a patch is advised to resolve this issue.

Product(s) Impacted

Vendor Product Versions
Xlnt-community
  • Xlnt
  • Encrypted Xlsx File Parser
  • 1.6.1
  • *

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 xlnt-community xlnt 1.6.1 / / / / / / /
a xlnt-community encrypted_xlsx_file_parser / / / / / / / /

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 7, 2026, 3:15 p.m.
Last Modified: March 7, 2026, 3:15 p.m.

Status : Received

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.