monkey f37e984 HTTP Request mk_server/mk_http.c mk_http_index_lookup stack-based overflow

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in monkey f37e984. Affected by this issue is the function mk_http_index_lookup of the file mk_server/mk_http.c of the component HTTP Request Handler. Performing a manipulation results in stack-based overflow. This vulnerability was named CVE-2025-63658. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as problematic, was found in monkey f37e984. This affects the function mk_http_index_lookup of the file mk_server/mk_http.c of the component HTTP Request Handler. The manipulation with an unknown input leads to a stack-based overflow vulnerability. CWE is classifying the issue as 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). This is going to have an impact on availability. The summary by CVE is:

A stack overflow in the mk_http_index_lookup function (mk_server/mk_http.c) of monkey commit f37e984 allows attackers to cause a Denial of Service (DoS) via sending a crafted HTTP request to the server.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-63658 since 10/27/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/14/2026).

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 vulnerability database at EUVD (EUVD-2025-206521). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

ADP CISA Base Score: 7.5
ADP CISA Vector: 🔒

CVSSv2info

AVACAuCIA
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Stack-based overflow
CWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/27/2025 CVE reserved
01/30/2026 +95 days Advisory disclosed
01/30/2026 +0 days VulDB entry created
02/14/2026 +15 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: 427
Status: Confirmed

CVE: CVE-2025-63658 (🔒)
GCVE (CVE): GCVE-0-2025-63658
GCVE (VulDB): GCVE-100-343443
EUVD: 🔒

Entryinfo

Created: 01/30/2026 08:00
Updated: 02/14/2026 02:59
Changes: 01/30/2026 08:00 (55), 01/30/2026 14:29 (1), 02/14/2026 02:59 (11)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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