CVE-2026-41608 in Thrift
Summary
by MITRE • 07/27/2026
Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in Apache Thrift Python bindings.
This issue affects Apache Thrift: before 0.24.0.
Users are recommended to upgrade to version 0.24.0, which fixes the issue.
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Analysis
by VulDB Data Team • 07/27/2026
The improper handling of highly compressed data vulnerability in Apache Thrift Python bindings represents a critical data amplification flaw that can be exploited to cause significant system resource exhaustion and potential denial of service conditions. This vulnerability specifically impacts versions prior to 0.24.0 and stems from inadequate validation of compressed data structures during deserialization processes within the Python implementation of the Apache Thrift framework. The issue manifests when the system receives malformed or specially crafted compressed data that, upon decompression, expands to consume disproportionately large amounts of memory or processing resources compared to the original compressed payload.
The technical root cause of this vulnerability lies in the insufficient bounds checking and resource allocation mechanisms within the Python bindings' decompression routines. When Thrift processes incoming data streams, it performs decompression operations without adequate safeguards against data amplification attacks where small input data can generate massive output structures. This flaw allows attackers to craft malicious payloads that, when processed by the affected version of Apache Thrift, trigger excessive memory allocation and CPU consumption patterns. The vulnerability is particularly dangerous because it operates at the protocol level where data validation should occur before any processing begins, creating a window of opportunity for exploitation.
From an operational impact perspective, this vulnerability can lead to severe service degradation or complete system unavailability when exploited. Attackers can consume excessive memory resources causing out-of-memory conditions that may crash applications or force system restarts. The resource amplification factor can range from hundreds to thousands of times the original payload size, making even small malicious inputs capable of causing significant damage. Systems relying on Apache Thrift for inter-service communication become particularly vulnerable when they process untrusted data from external sources without proper input validation mechanisms in place.
The vulnerability aligns with CWE-400 - Uncontrolled Resource Consumption and can be mapped to ATT&CK technique T1499.004 - Endpoint Denial of Service within the context of resource exhaustion attacks. Organizations using affected versions of Apache Thrift face potential business disruption due to service unavailability, increased operational overhead from monitoring and incident response activities, and possible data loss from system crashes or forced restarts during exploitation attempts. The attack surface extends beyond individual applications to entire distributed systems where multiple services communicate through Thrift interfaces, creating cascading effects that can impact the broader infrastructure.
Security mitigations for this vulnerability primarily involve immediate upgrading to Apache Thrift version 0.24.0 or later, which includes proper bounds checking and resource allocation controls within the decompression logic. Organizations should also implement additional defensive measures such as rate limiting on incoming data streams, memory monitoring for abnormal consumption patterns, and input validation at multiple layers of their architectural stack. Network-level protections including firewall rules that limit data transfer sizes and intrusion detection systems configured to identify suspicious data amplification patterns can provide additional defense in depth. Regular security assessments and penetration testing should verify that the upgrade has effectively addressed the vulnerability across all components utilizing Apache Thrift interfaces, particularly those handling external or untrusted data inputs.