airlift aircompressor up to 0.26 Compression out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.8 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in airlift aircompressor up to 0.26 and classified as critical. Affected by this vulnerability is an unknown functionality of the component Compression Handler. This manipulation causes out-of-bounds. This vulnerability appears as CVE-2024-36114. The attack may be initiated remotely. There is no available exploit. The affected component should be upgraded.
Details
A vulnerability classified as critical was found in airlift aircompressor up to 0.26. Affected by this vulnerability is an unknown part of the component Compression Handler. The manipulation with an unknown input leads to a out-of-bounds vulnerability. The CWE definition for the vulnerability is CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Aircompressor is a library with ports of the Snappy, LZO, LZ4, and Zstandard compression algorithms to Java. All decompressor implementations of Aircompressor (LZ4, LZO, Snappy, Zstandard) can crash the JVM for certain input, and in some cases also leak the content of other memory of the Java process (which could contain sensitive information). When decompressing certain data, the decompressors try to access memory outside the bounds of the given byte arrays or byte buffers. Because Aircompressor uses the JDK class `sun.misc.Unsafe` to speed up memory access, no additional bounds checks are performed and this has similar security consequences as out-of-bounds access in C or C++, namely it can lead to non-deterministic behavior or crash the JVM. Users should update to Aircompressor 0.27 or newer where these issues have been fixed. When decompressing data from untrusted users, this can be exploited for a denial-of-service attack by crashing the JVM, or to leak other sensitive information from the Java process. There are no known workarounds for this issue.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-36114 since 05/20/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 0.27 eliminates this vulnerability. Applying the patch 15e68df9eb0c2bfde7f796231ee7cd1982965071 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.9VulDB Meta Temp Score: 7.8
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.6
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: aircompressor 0.27
Patch: 15e68df9eb0c2bfde7f796231ee7cd1982965071
Timeline
05/20/2024 🔍05/30/2024 🔍
05/30/2024 🔍
05/30/2024 🔍
Sources
Product: github.comAdvisory: GHSA-973x-65j7-xcf4
Status: Confirmed
CVE: CVE-2024-36114 (🔍)
GCVE (CVE): GCVE-0-2024-36114
GCVE (VulDB): GCVE-100-266563
Entry
Created: 05/30/2024 07:41Changes: 05/30/2024 07:41 (67)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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