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CVE-2022-30522
Apache HTTP Server vulnerability analysis and mitigation

Overview

CVE-2022-30522 is a Denial of Service (DoS) vulnerability discovered in Apache HTTP Server version 2.4.53. The vulnerability exists in the mod_sed module when it is configured to perform transformations on input where the data may be very large, potentially causing excessively large memory allocations and triggering an abort (Apache Advisory, NVD). The vulnerability was discovered by Brian Moussalli from the JFrog Security Research team and was fixed in Apache HTTP Server version 2.4.54.

Technical details

The vulnerability occurs when mod_sed is configured to process large amounts of data (2GB or more) in request bodies or responses. When buffers reach a certain size, they are multiplied to avoid performing many calls to memory allocation functions. This optimization attempt can lead to excessive memory allocations that exceed Apache's memory limit, causing the process to abort. The issue has a CVSS v3.1 base score of 7.5 (HIGH) with vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H (JFrog Blog).

Impact

When successfully exploited, this vulnerability can cause a Denial of Service condition. An attacker can trigger the vulnerability by sending large amounts of data to an endpoint that uses the sed filter, causing the HTTP server process to crash. Multiple requests over time can cause all server processes to shut down repeatedly, resulting in complete service unavailability (JFrog Blog).

Mitigation and workarounds

The primary mitigation is to upgrade Apache HTTP Server to version 2.4.54 or later. If upgrading is not immediately possible, a workaround is available by limiting the POST method's body size using the LimitRequestBody directive in the Apache httpd configuration file. It is recommended to set a limit preventing POST request bodies larger than 1GB of data using: LimitRequestBody 1073741824. However, this mitigation only protects against DoS caused by client requests and does not prevent issues with large responses (JFrog Blog).

Additional resources


SourceThis report was generated using AI

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