CVE-2019-6291
NASM Denial-of-Service Remote Stack Exhaustion Vulnerability
Description
An issue was discovered in the function expr6 in eval.c in Netwide Assembler (NASM) through 2.14.02. There is a stack exhaustion problem caused by the expr6 function making recursive calls to itself in certain scenarios involving lots of '!' or '+' or '-' characters. Remote attackers could leverage this vulnerability to cause a denial-of-service via a crafted asm file.
INFO
Published Date :
Jan. 15, 2019, 12:29 a.m.
Last Modified :
Aug. 24, 2020, 5:37 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
Exploitability Score :
1.8
Public PoC/Exploit Available at Github
CVE-2019-6291 has a 7 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
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-2019-6291
.
URL | Resource |
---|---|
https://bugzilla.nasm.us/show_bug.cgi?id=3392549 | Exploit Issue Tracking Vendor 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).
None
Dockerfile Shell
[ICSE2020] MemLock DataSet
fuzzing
Makefile M4 C Objective-C DIGITAL Command Language sed Shell C++ Perl Lex
None
Makefile Python Shell CMake JavaScript HTML CSS C++ C Java
[ICSE2020] MemLock DataSet
fuzzing
Makefile Python Shell CMake JavaScript HTML CSS C++ C Java
[ICSE2020] MemLock: Memory Usage Guided Fuzzing
Dockerfile Shell JavaScript C Makefile C++ PLpgSQL HTML Rich Text Format
MemLock_Benchmark: The vulnerability related to Excessive Memory Consumption, which can test the ability of fuzzer for generating inputs that consume lost of memory.
Makefile Python Shell CMake JavaScript HTML CSS C++ C Java
ExMem_Benchmark: The vulnerability related to Excessive Memory Consumption, which can test the ability of fuzzer for generating inputs that consume lost of memory.
Makefile Python Shell CMake JavaScript HTML CSS C++ C Java
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2019-6291
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-6291
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 -
CWE Remap by [email protected]
Aug. 24, 2020
Action Type Old Value New Value Changed CWE CWE-400 CWE-674 -
Initial Analysis by [email protected]
Jan. 23, 2019
Action Type Old Value New Value Added CVSS V2 Metadata Victim must voluntarily interact with attack mechanism Added CVSS V2 (AV:N/AC:M/Au:N/C:N/I:N/A:P) Added CVSS V3 AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H Changed Reference Type https://bugzilla.nasm.us/show_bug.cgi?id=3392549 No Types Assigned https://bugzilla.nasm.us/show_bug.cgi?id=3392549 Exploit, Issue Tracking, Vendor Advisory Added CWE CWE-400 Added CPE Configuration OR *cpe:2.3:a:nasm:netwide_assembler:*:*:*:*:*:*:*:* versions up to (including) 2.14.02
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2019-6291
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-2019-6291
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.10 }} 0.02%
score
0.42014
percentile