2 CVE-2024-57257

 

A stack consumption issue in sqfs_size in Das U-Boot before 2025.01-rc1 occurs via a crafted squashfs filesystem with deep symlink nesting.
https://nvd.nist.gov/vuln/detail/CVE-2024-57257

Categories

CWE-674 : Uncontrolled Recursion
The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack. Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.) Ensure an end condition will be reached under all logic conditions. The end condition may include testing against the depth of recursion and exiting with an error if the recursion goes too deep. The complexity of the end condition contributes to the effectiveness of this action. Increase the stack size. Deeply nested arrays trigger stack exhaustion. Self-referencing pointers create infinite loop and resultant stack exhaustion. Javascript application accidentally changes input in a way that prevents a recursive call from detecting an exit condition. An attempt to recover a corrupted XML file infinite recursion protection counter was not always incremented missing the exit condition. USB-audio driver's descriptor code parsing allows unlimited recursion leading to stack exhaustion.

References


 

CPE

cpe start end


REMEDIATION




EXPLOITS


Exploit-db.com

id description date
No known exploits

POC Github

Url
No known exploits

Other Nist (github, ...)

Url
No known exploits


CAPEC


Common Attack Pattern Enumerations and Classifications

id description severity
230 Serialized Data with Nested Payloads
High
231 Oversized Serialized Data Payloads
High