5.9
MEDIUM
CVE-2020-15137
"HoRNDIS RNDIS Packet Parsing Integer Overflow (Kernel Memory Disclosure/Crash)"
Description

All versions of HoRNDIS are affected by an integer overflow in the RNDIS packet parsing routines. A malicious USB device can trigger disclosure of unrelated kernel memory to userspace applications on the host, or can cause the kernel to crash. Kernel memory disclosure is especially likely on 32-bit kernels; 64-bit kernels are more likely to crash on attempted exploitation. It is not believed that kernel memory corruption is possible, or that unattended kernel memory disclosure without the collaboration of a userspace program running on the host is possible. The vulnerability is in `HoRNDIS::receivePacket`. `msg_len`, `data_ofs`, and `data_len` can be controlled by an attached USB device, and a negative value of `data_ofs` can bypass the check for `(data_ofs + data_len + 8) > msg_len`, and subsequently can cause a wild pointer copy in the `mbuf_copyback` call. The software is not maintained and no patches are planned. Users of multi-tenant systems with HoRNDIS installed should only connect trusted USB devices to their system.

INFO

Published Date :

Aug. 12, 2020, 5:15 p.m.

Last Modified :

Nov. 18, 2021, 6:32 p.m.

Remotely Exploitable :

No

Impact Score :

5.2

Exploitability Score :

0.7
Affected Products

The following products are affected by CVE-2020-15137 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Horndis_project horndis
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2020-15137.

URL Resource
https://github.com/jwise/HoRNDIS/security/advisories/GHSA-8q4r-m3rh-57jx Third Party Advisory

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2020-15137 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2020-15137 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Modified by [email protected]

    May. 14, 2024

    Action Type Old Value New Value
  • Reanalysis by [email protected]

    Nov. 18, 2021

    Action Type Old Value New Value
    Added CWE NIST CWE-190
  • Initial Analysis by [email protected]

    Aug. 18, 2020

    Action Type Old Value New Value
    Added CVSS V2 NIST (AV:L/AC:L/Au:N/C:P/I:N/A:P)
    Added CVSS V3.1 NIST AV:P/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
    Changed Reference Type https://github.com/jwise/HoRNDIS/security/advisories/GHSA-8q4r-m3rh-57jx No Types Assigned https://github.com/jwise/HoRNDIS/security/advisories/GHSA-8q4r-m3rh-57jx Third Party Advisory
    Added CPE Configuration OR *cpe:2.3:a:horndis_project:horndis:*:*:*:*:*:*:*:*
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2020-15137 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2020-15137 weaknesses.

Exploit Prediction

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.

0.05 }} 0.00%

score

0.14301

percentile

CVSS31 - Vulnerability Scoring System
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