CVE-2025-63649: n/a
An out-of-bounds read in the http_parser_transfer_encoding_chunked function (mk_server/mk_http_parser.c) of monkey commit f37e984 allows attackers to cause a Denial of Service (DoS) via sending a crafted POST request to the server.
AI Analysis
Technical Summary
CVE-2025-63649 is a vulnerability identified in the Monkey HTTP server, specifically within the http_parser_transfer_encoding_chunked function located in the mk_server/mk_http_parser.c source file. The flaw is an out-of-bounds read (CWE-125), which occurs when the server processes chunked transfer encoding in HTTP POST requests. An attacker can craft a malicious POST request that triggers this out-of-bounds read, causing the server to access memory outside the intended buffer boundaries. This results in a Denial of Service (DoS) condition by crashing or destabilizing the server process. The vulnerability can be exploited remotely without any authentication or user interaction, making it accessible to any attacker with network access to the server. The CVSS v3.1 base score is 7.5, reflecting high severity due to the network attack vector, low attack complexity, no privileges required, and no user interaction needed. The impact is limited to availability, with no direct compromise of confidentiality or integrity. No patches or fixes are currently linked, and no known exploits have been reported in the wild as of the published date. Organizations running Monkey HTTP server should be aware of this vulnerability and monitor for updates or patches from the maintainers. The vulnerability highlights the risks associated with improper input validation and memory handling in HTTP parsers, which are critical components of web servers.
Potential Impact
For European organizations, the primary impact of CVE-2025-63649 is the potential disruption of web services relying on the Monkey HTTP server. A successful exploitation leads to Denial of Service, causing downtime that can affect business operations, customer access, and service availability. This is particularly critical for sectors requiring high availability such as finance, healthcare, government services, and critical infrastructure. Although the vulnerability does not compromise data confidentiality or integrity, the loss of availability can lead to reputational damage, financial losses, and regulatory scrutiny under frameworks like GDPR if service disruptions affect customer data processing. Organizations using Monkey HTTP server in load-balanced or clustered environments may experience cascading failures if the vulnerability is exploited at scale. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time. European entities should assess their exposure based on the deployment of Monkey HTTP server and prioritize mitigation to maintain operational resilience.
Mitigation Recommendations
1. Monitor official Monkey HTTP server repositories and security advisories for patches or updates addressing CVE-2025-63649 and apply them promptly once available. 2. Implement network-level protections such as Web Application Firewalls (WAFs) or Intrusion Prevention Systems (IPS) configured to detect and block malformed or suspicious HTTP POST requests that could exploit chunked transfer encoding parsing. 3. Employ rate limiting on POST requests to reduce the risk of DoS attacks exploiting this vulnerability. 4. Conduct thorough logging and monitoring of HTTP traffic to identify unusual patterns or repeated malformed requests targeting the chunked transfer encoding mechanism. 5. Where feasible, consider isolating or sandboxing Monkey HTTP server instances to limit the impact of potential crashes. 6. Evaluate alternative HTTP server solutions with robust security track records if Monkey HTTP server is critical and patches are delayed. 7. Perform regular security assessments and penetration testing focusing on HTTP parsing and input validation to uncover similar vulnerabilities proactively. 8. Educate network and security teams about this vulnerability to ensure rapid detection and response.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain, Poland
CVE-2025-63649: n/a
Description
An out-of-bounds read in the http_parser_transfer_encoding_chunked function (mk_server/mk_http_parser.c) of monkey commit f37e984 allows attackers to cause a Denial of Service (DoS) via sending a crafted POST request to the server.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-63649 is a vulnerability identified in the Monkey HTTP server, specifically within the http_parser_transfer_encoding_chunked function located in the mk_server/mk_http_parser.c source file. The flaw is an out-of-bounds read (CWE-125), which occurs when the server processes chunked transfer encoding in HTTP POST requests. An attacker can craft a malicious POST request that triggers this out-of-bounds read, causing the server to access memory outside the intended buffer boundaries. This results in a Denial of Service (DoS) condition by crashing or destabilizing the server process. The vulnerability can be exploited remotely without any authentication or user interaction, making it accessible to any attacker with network access to the server. The CVSS v3.1 base score is 7.5, reflecting high severity due to the network attack vector, low attack complexity, no privileges required, and no user interaction needed. The impact is limited to availability, with no direct compromise of confidentiality or integrity. No patches or fixes are currently linked, and no known exploits have been reported in the wild as of the published date. Organizations running Monkey HTTP server should be aware of this vulnerability and monitor for updates or patches from the maintainers. The vulnerability highlights the risks associated with improper input validation and memory handling in HTTP parsers, which are critical components of web servers.
Potential Impact
For European organizations, the primary impact of CVE-2025-63649 is the potential disruption of web services relying on the Monkey HTTP server. A successful exploitation leads to Denial of Service, causing downtime that can affect business operations, customer access, and service availability. This is particularly critical for sectors requiring high availability such as finance, healthcare, government services, and critical infrastructure. Although the vulnerability does not compromise data confidentiality or integrity, the loss of availability can lead to reputational damage, financial losses, and regulatory scrutiny under frameworks like GDPR if service disruptions affect customer data processing. Organizations using Monkey HTTP server in load-balanced or clustered environments may experience cascading failures if the vulnerability is exploited at scale. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time. European entities should assess their exposure based on the deployment of Monkey HTTP server and prioritize mitigation to maintain operational resilience.
Mitigation Recommendations
1. Monitor official Monkey HTTP server repositories and security advisories for patches or updates addressing CVE-2025-63649 and apply them promptly once available. 2. Implement network-level protections such as Web Application Firewalls (WAFs) or Intrusion Prevention Systems (IPS) configured to detect and block malformed or suspicious HTTP POST requests that could exploit chunked transfer encoding parsing. 3. Employ rate limiting on POST requests to reduce the risk of DoS attacks exploiting this vulnerability. 4. Conduct thorough logging and monitoring of HTTP traffic to identify unusual patterns or repeated malformed requests targeting the chunked transfer encoding mechanism. 5. Where feasible, consider isolating or sandboxing Monkey HTTP server instances to limit the impact of potential crashes. 6. Evaluate alternative HTTP server solutions with robust security track records if Monkey HTTP server is critical and patches are delayed. 7. Perform regular security assessments and penetration testing focusing on HTTP parsing and input validation to uncover similar vulnerabilities proactively. 8. Educate network and security teams about this vulnerability to ensure rapid detection and response.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2025-10-27T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 697bbbbbac06320222b23d9c
Added to database: 1/29/2026, 7:57:47 PM
Last enriched: 2/6/2026, 8:37:57 AM
Last updated: 3/24/2026, 7:02:43 PM
Views: 51
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