CVE-2026-108104 (GCVE-0-2026-108104)
Vulnerability from cvelistv5 – Published: 2026-10-09 14:33 – Updated: 2026-10-09 14:33
VLAI
EPSS
VEX
Title
Xerial snappy-java 1.1.7.4 before 1.1.10.10 Double Release of Pooled Buffers in SnappyFramedInputStream
Summary
Xerial snappy-java from 1.1.7.4 before 1.1.10.10 contains a double release vulnerability in SnappyFramedInputStream that returns pooled buffers twice when replacement allocation fails. Attackers can supply framed data with a large declared chunk length to trigger OutOfMemoryError, causing shared backing arrays that expose or overwrite other streams' decompressed data.
Severity
4.8 (Medium)
CWE
- CWE-415 - Double Free
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/xerial/snappy-java/security/ad… | vendor-advisory |
| https://github.com/xerial/snappy-java/commit/139a… | patch |
| https://github.com/xerial/snappy-java/releases/ta… | release-notes |
| https://github.com/xerial/snappy-java/blob/v1.1.1… | technical-description |
| https://github.com/xerial/snappy-java | product |
| https://www.vulncheck.com/advisories/xerial-snapp… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| xerial | snappy-java |
Affected:
1.1.7.4 , < 1.1.10.10
(custom)
Unaffected: 1.1.10.10 (custom) cpe:2.3:a:xerial:snappy-java:*:*:*:*:*:*:*:* |
Date Public
2026-10-03 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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