CVE-2024-42483

Sept. 23, 2024, 2:06 p.m.

6.5
Medium

Description

ESP-NOW Component provides a connectionless Wi-Fi communication protocol. An replay attacks vulnerability was discovered in the implementation of the ESP-NOW because the caches is not differentiated by message types, it is a single, shared resource for all kinds of messages, whether they are broadcast or unicast, and regardless of whether they are ciphertext or plaintext. This can result an attacker to clear the cache of its legitimate entries, there by creating an opportunity to re-inject previously captured packets. This vulnerability is fixed in 2.5.2.

Product(s) Impacted

Vendor Product Versions
Espressif
  • Esp-now
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-345
Insufficient Verification of Data Authenticity
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
CWE-349
Acceptance of Extraneous Untrusted Data With Trusted Data
The product, when processing trusted data, accepts any untrusted data that is also included with the trusted data, treating the untrusted data as if it were trusted.

*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 espressif esp-now / / / / / / / /

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: ADJACENT_NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N

    View Vector String

Timeline

Published: Sept. 12, 2024, 3:18 p.m.
Last Modified: Sept. 23, 2024, 2:06 p.m.

Status : Analyzed

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

More info

Source

security-advisories@github.com

*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.