FreeRTOS-Plus-TCP 4.0.0-4.1.0 DNS Parser Buffer Over-Read (fixed in 4.1.1)
CVE-2024-38373 Published on June 24, 2024

FreeRTOS-Plus-TCP Buffer Over-Read in DNS Response Parser
FreeRTOS-Plus-TCP is a lightweight TCP/IP stack for FreeRTOS. FreeRTOS-Plus-TCP versions 4.0.0 through 4.1.0 contain a buffer over-read issue in the DNS Response Parser when parsing domain names in a DNS response. A carefully crafted DNS response with domain name length value greater than the actual domain name length, could cause the parser to read beyond the DNS response buffer. This issue affects applications using DNS functionality of the FreeRTOS-Plus-TCP stack. Applications that do not use DNS functionality are not affected, even when the DNS functionality is enabled. This vulnerability has been patched in version 4.1.1.

NVD

Vulnerability Analysis

CVE-2024-38373 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Type

Buffer Over-read

The software reads from a buffer using buffer access mechanisms such as indexes or pointers that reference memory locations after the targeted buffer. This typically occurs when the pointer or its index is incremented to a position beyond the bounds of the buffer or when pointer arithmetic results in a position outside of the valid memory location to name a few. This may result in exposure of sensitive information or possibly a crash.


Products Associated with CVE-2024-38373

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Affected Versions

FreeRTOS-Plus-TCP: amazon freertos-plus-tcp:

Exploit Probability

EPSS
0.65%
Percentile
70.45%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.