CVE-2026-84161 (GCVE-0-2026-84161)
Vulnerability from cvelistv5 – Published: 2026-11-06 10:48 – Updated: 2026-11-06 10:48
VLAI
EPSS
VEX
Title
Authenticated remote denial of service through unbounded zlib decompression in storeAnalysisStatistics
Summary
When an operator enables store.analysis_statistics_dir, a network client with PRODUCT_STORE permission for a product can call that product's storeAnalysisStatistics Thrift-over-HTTP method. CodeChecker 6.29.0 decodes the attacker-controlled Base64 string and passes the complete compressed input to one-shot zlib.decompress(). No maximum decompressed size is enforced.
This gives a correctly authorized, non-superuser store account a high-ratio memory and persistent-disk amplification primitive. The complete output is first materialized as a Python bytes object and is then written to the configured statistics directory. A sufficiently scaled payload can exhaust the API worker or host memory and impair CodeChecker availability.
The shipped value of store.analysis_statistics_dir is null, so the affected feature is disabled by default. The primary assessment does not rely on authentication being disabled. There is no authorization bypass and no path traversal in this report.
Severity
4.9 (Medium)
CWE
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Ericsson | CodeChecker |
Affected:
0 , < 6.29.3
(semver)
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.