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critical·Product Based Web Vulnerabilities·Updated Oct 8, 2024

CVE-2022-24637 Scanner

CVE-2022-24637 Scanner - Remote Code Execution vulnerability in Open Web Analytics

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsdomain, ipv4, subdomain
CostFree
2.8k
Times Used
continuous scan runs
4.7k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
CVECVE-2022-24637
9.8
CVSS

Open Web Analytics (OWA) before 1.7.4 allows an unauthenticated remote attacker to obtain sensitive user information, which can be used to gain admin privileges by leveraging cache hashes. This occurs because files generated with '<?php (instead of the intended "<?php sequence) aren't handled by the PHP interpreter.

Attack Vector
-
Privileges Req.
-
User Interaction
-
Affected
n/aby n/a
n/a
Updated Aug 22, 2026View on NVD →
Detail

Open Web Analytics is a software application used by web developers and digital marketers to track and analyze website traffic and visitor behavior. The software is open-source and widely used due to its compatibility with various content management systems and its ability to provide detailed insights into user interactions. Through its comprehensive analytics, businesses can optimize their online presence and enhance their marketing strategies. Organizations of all sizes utilize Open Web Analytics to gain actionable insights and improve user experiences. The software's flexible architecture allows for easy integration with existing infrastructures, making it a popular choice for analytics needs.

The Remote Code Execution vulnerability in Open Web Analytics allows unauthenticated attackers to execute arbitrary code on the affected systems. This vulnerability arises due to improper handling of PHP code within system files, where unintended execution is possible. As attackers can leverage this flaw to gain unauthorized access, it becomes a significant security risk. The flaw affects versions prior to 1.7.4, including 1.7.3, due to the mishandling of the PHP interpreter. Exploiting this vulnerability can lead to severe consequences, such as data corruption and exposure of sensitive information. Organizations need to prioritize remediation efforts to protect against these potential attacks.

The technical details of this vulnerability involve discrepancies in how PHP files are handled within the application. Specifically, files generated with '<?php instead of the proper PHP start tag "<?php are improperly processed by the PHP interpreter. This misconfiguration allows attackers to execute unauthorized code remotely, bypassing typical security protocols. Attackers can exploit this by sending specific requests to vulnerable endpoints, such as "/owa-data/caches/.php" files. The templates provided in the template focus on these requests to identify compromised instances, acknowledging potential weaknesses in handling serialized objects. By altering these requests, attackers can potentially gain admin-level access without proper authentication.

If exploited by malicious actors, the Remote Code Execution vulnerability could lead to unauthorized control of the affected systems. Attackers could alter website configurations, delete or corrupt data, and gain access to sensitive information. This could result in data breaches, financial losses, and reputational damage for organizations using Open Web Analytics. Given the severity of a CVSS score of 9.8, targeting and exploiting this vulnerability could result in a critical operational failure. Immediate actions are required to mitigate any risks associated with this security flaw, preserving data integrity and organizational security.

REFERENCES

Solution Advice
  • Upgrade Open Web Analytics to the latest version, 1.7.4, which patches the Remote Code Execution vulnerability.
  • Ensure PHP files are correctly structured and handled to prevent unintended code execution.
  • Regularly audit and secure web applications to identify and fix potential injection points.
  • Implement comprehensive monitoring to detect unauthorized access attempts or changes.
  • Train development teams on secure coding practices to mitigate the risk of similar vulnerabilities.

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