CODE::BLOCKS 16.01 M3U Playlist File stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.6 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in CODE::BLOCKS 16.01 and classified as critical. The affected element is an unknown function of the component M3U Playlist File Handler. This manipulation causes stack-based overflow. This vulnerability is registered as CVE-2020-37121. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
Details
A vulnerability has been found in CODE::BLOCKS 16.01 and classified as critical. Affected by this vulnerability is an unknown part of the component M3U Playlist File Handler. The manipulation with an unknown input leads to a stack-based overflow vulnerability. The CWE definition for the vulnerability is CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
CODE::BLOCKS 16.01 contains a buffer overflow vulnerability that allows attackers to execute arbitrary code by overwriting Structured Exception Handler with crafted Unicode characters. Attackers can create a malicious M3U playlist file with 536 bytes of buffer and shellcode to trigger remote code execution.
The weakness was published by T3jv1l as 48344. It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2020-37121 since 02/03/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details are unknown but a public exploit is available.
It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 298278 (Linux Distros Unpatched Vulnerability : CVE-2020-37121), which helps to determine the existence of the flaw in a target environment.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at Tenable (298278) and EUVD (EUVD-2020-31020). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.6
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Nessus ID: 298278
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2020-37121
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
02/03/2026 CVE reserved02/05/2026 Advisory disclosed
02/05/2026 VulDB entry created
02/07/2026 VulDB entry last update
Sources
Advisory: 48344Researcher: T3jv1l
Status: Not defined
CVE: CVE-2020-37121 (🔒)
GCVE (CVE): GCVE-0-2020-37121
GCVE (VulDB): GCVE-100-344515
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 02/05/2026 17:54Updated: 02/07/2026 11:50
Changes: 02/05/2026 17:54 (78), 02/06/2026 05:29 (7), 02/06/2026 08:12 (1), 02/07/2026 11:50 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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