5.5 CVE-2024-53004

Substance3D - Modeler versions 1.14.1 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
https://nvd.nist.gov/vuln/detail/CVE-2024-53004

Categories

CWE-125 : Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer. When an out-of-bounds read occurs, typically the product has already made a separate mistake, such as modifying an index or performing pointer arithmetic that produces an out-of-bounds address. Shorthand for "Out of bounds" read Fuzz testing (fuzzing) is a powerful technique for generating large numbers of diverse inputs - either randomly or algorithmically - and dynamically invoking the code with those inputs. Even with random inputs, it is often capable of generating unexpected results such as crashes, memory corruption, or resource consumption. Fuzzing effectively produces repeatable test cases that clearly indicate bugs, which helps developers to diagnose the issues. 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.) Use a language that provides appropriate memory abstractions. The reference implementation code for a Trusted Platform Module does not implement length checks on data, allowing for an attacker to read 2 bytes past the end of a buffer. Out-of-bounds read in IP stack used in embedded systems, as exploited in the wild per CISA KEV. Chain: "Heartbleed" bug receives an inconsistent length parameter (CWE-130) enabling an out-of-bounds read (CWE-126), returning memory that could include private cryptographic keys and other sensitive data. HTML conversion package has a buffer under-read, allowing a crash Chain: unexpected sign extension (CWE-194) leads to integer overflow (CWE-190), causing an out-of-bounds read (CWE-125) Chain: product does not handle when an input string is not NULL terminated (CWE-170), leading to buffer over-read (CWE-125) or heap-based buffer overflow (CWE-122). Chain: series of floating-point precision errors(CWE-1339) in a web browser rendering engine causes out-of-bounds read(CWE-125), giving access to cross-origin data out-of-bounds read due to improper length check packet with large number of specified elements cause out-of-bounds read. packet with large number of specified elements cause out-of-bounds read. out-of-bounds read, resultant from integer underflow large length value causes out-of-bounds read malformed image causes out-of-bounds read OS kernel trusts userland-supplied length value, allowing reading of sensitive information

References

psirt@adobe.com

https://helpx.adobe.com/security/products/substance3d-modeler/apsb24-102.html Vendor Advisory

CPE

cpe	start	end
Configuration 1
cpe:2.3:a:adobe:substance_3d_modeler::::::::		<= 1.14.1

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
540	Overread Buffers An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution. [Identify target application] The adversary identifies a target application or program to perform the buffer overread on. Adversaries often look for applications that accept user input and that perform manual memory management. [Find attack vector] The adversary identifies an attack vector by looking for areas in the application where they can specify to read more data than is required. [Overread the buffer] The adversary provides input to the application that gets it to read past the bounds of a buffer, possibly revealing sensitive information that was not intended to be given to the adversary.	High

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