CVE-2024-41262: n/a
mmudb v1.9.3 was discovered to use the HTTP protocol in the ShowMetricsRaw and ShowMetricsAsText functions, possibly allowing attackers to intercept communications via a man-in-the-middle attack.
AI Analysis
Technical Summary
CVE-2024-41262 identifies a vulnerability in mmudb version 1.9.3, specifically within the ShowMetricsRaw and ShowMetricsAsText functions. These functions transmit data over the HTTP protocol rather than HTTPS, resulting in unencrypted communication channels. This insecure transmission exposes the data to interception by attackers positioned on the network path, enabling man-in-the-middle (MitM) attacks. Through MitM, adversaries can eavesdrop on or manipulate the metrics data exchanged, compromising confidentiality and integrity. The vulnerability does not require authentication or user interaction, increasing its exploitability, but it does require network access to the affected services. The CVSS 3.1 base score of 7.4 reflects high severity, with vector metrics indicating network attack vector (AV:N), high attack complexity (AC:H), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), and high impact on confidentiality and integrity (C:H/I:H) but no impact on availability (A:N). The vulnerability is classified under CWE-319, which covers cleartext transmission of sensitive information. No patches or mitigations are currently linked, and no exploits are known in the wild. Organizations using mmudb for monitoring or metrics collection should be aware of the risk of data interception and potential manipulation due to this vulnerability.
Potential Impact
The primary impact of CVE-2024-41262 is the exposure of sensitive metrics data transmitted by mmudb over unencrypted HTTP channels. Attackers capable of intercepting network traffic can obtain confidential information, potentially revealing system performance, usage patterns, or other operational details. This breach of confidentiality can aid further attacks or intelligence gathering. Additionally, the integrity of the data can be compromised, allowing attackers to alter metrics, which may mislead monitoring systems or trigger incorrect operational responses. Although availability is not affected, the trustworthiness of monitoring data is undermined, which can have cascading effects on incident detection and response. Organizations relying on mmudb for critical infrastructure monitoring or decision-making processes face increased risk of data leakage and manipulation. The lack of authentication requirements and user interaction lowers the barrier for exploitation, especially in environments where network access is not tightly controlled. This vulnerability can affect organizations globally, particularly those in sectors with high reliance on real-time metrics and monitoring data.
Mitigation Recommendations
To mitigate CVE-2024-41262, organizations should immediately assess their use of mmudb v1.9.3 and identify deployments of the ShowMetricsRaw and ShowMetricsAsText functions. Since no official patches are currently available, the following steps are recommended: 1) Implement network-level protections such as VPNs or encrypted tunnels (e.g., IPsec, SSH tunnels) to secure communications between clients and mmudb servers; 2) Restrict network access to mmudb services to trusted hosts and networks using firewalls and access control lists; 3) If possible, modify or configure mmudb to use HTTPS or another encrypted protocol for metrics transmission; 4) Monitor network traffic for signs of interception or manipulation, including unexpected changes in metrics data; 5) Engage with the mmudb vendor or community to track patch releases or updates addressing this vulnerability; 6) Educate network and security teams about the risks of unencrypted protocols in monitoring tools; 7) Consider deploying intrusion detection/prevention systems (IDS/IPS) to detect MitM attack patterns on relevant network segments. These measures collectively reduce the risk of data interception and manipulation until a formal patch is available.
Affected Countries
United States, Germany, United Kingdom, France, Japan, South Korea, India, Canada, Australia, Netherlands
CVE-2024-41262: n/a
Description
mmudb v1.9.3 was discovered to use the HTTP protocol in the ShowMetricsRaw and ShowMetricsAsText functions, possibly allowing attackers to intercept communications via a man-in-the-middle attack.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-41262 identifies a vulnerability in mmudb version 1.9.3, specifically within the ShowMetricsRaw and ShowMetricsAsText functions. These functions transmit data over the HTTP protocol rather than HTTPS, resulting in unencrypted communication channels. This insecure transmission exposes the data to interception by attackers positioned on the network path, enabling man-in-the-middle (MitM) attacks. Through MitM, adversaries can eavesdrop on or manipulate the metrics data exchanged, compromising confidentiality and integrity. The vulnerability does not require authentication or user interaction, increasing its exploitability, but it does require network access to the affected services. The CVSS 3.1 base score of 7.4 reflects high severity, with vector metrics indicating network attack vector (AV:N), high attack complexity (AC:H), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), and high impact on confidentiality and integrity (C:H/I:H) but no impact on availability (A:N). The vulnerability is classified under CWE-319, which covers cleartext transmission of sensitive information. No patches or mitigations are currently linked, and no exploits are known in the wild. Organizations using mmudb for monitoring or metrics collection should be aware of the risk of data interception and potential manipulation due to this vulnerability.
Potential Impact
The primary impact of CVE-2024-41262 is the exposure of sensitive metrics data transmitted by mmudb over unencrypted HTTP channels. Attackers capable of intercepting network traffic can obtain confidential information, potentially revealing system performance, usage patterns, or other operational details. This breach of confidentiality can aid further attacks or intelligence gathering. Additionally, the integrity of the data can be compromised, allowing attackers to alter metrics, which may mislead monitoring systems or trigger incorrect operational responses. Although availability is not affected, the trustworthiness of monitoring data is undermined, which can have cascading effects on incident detection and response. Organizations relying on mmudb for critical infrastructure monitoring or decision-making processes face increased risk of data leakage and manipulation. The lack of authentication requirements and user interaction lowers the barrier for exploitation, especially in environments where network access is not tightly controlled. This vulnerability can affect organizations globally, particularly those in sectors with high reliance on real-time metrics and monitoring data.
Mitigation Recommendations
To mitigate CVE-2024-41262, organizations should immediately assess their use of mmudb v1.9.3 and identify deployments of the ShowMetricsRaw and ShowMetricsAsText functions. Since no official patches are currently available, the following steps are recommended: 1) Implement network-level protections such as VPNs or encrypted tunnels (e.g., IPsec, SSH tunnels) to secure communications between clients and mmudb servers; 2) Restrict network access to mmudb services to trusted hosts and networks using firewalls and access control lists; 3) If possible, modify or configure mmudb to use HTTPS or another encrypted protocol for metrics transmission; 4) Monitor network traffic for signs of interception or manipulation, including unexpected changes in metrics data; 5) Engage with the mmudb vendor or community to track patch releases or updates addressing this vulnerability; 6) Educate network and security teams about the risks of unencrypted protocols in monitoring tools; 7) Consider deploying intrusion detection/prevention systems (IDS/IPS) to detect MitM attack patterns on relevant network segments. These measures collectively reduce the risk of data interception and manipulation until a formal patch is available.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-07-18T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6cb3b7ef31ef0b5682f2
Added to database: 2/25/2026, 9:42:11 PM
Last enriched: 2/28/2026, 5:35:56 AM
Last updated: 4/12/2026, 1:56:31 PM
Views: 9
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