CVE-2023-7104 (GCVE-0-2023-7104)
Vulnerability from cvelistv5 – Published: 2023-12-25 21:00 – Updated: 2025-12-18 15:36
VLAI
EPSS
VEX
Title
SQLite SQLite3 make alltest sqlite3session.c sessionReadRecord heap-based overflow
Summary
A vulnerability was found in SQLite SQLite3 up to 3.43.0 and classified as critical. This issue affects the function sessionReadRecord of the file ext/session/sqlite3session.c of the component make alltest Handler. The manipulation leads to heap-based buffer overflow. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-248999.
Severity
5.5 (Medium)
5.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-18 15:36 UTC
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.248999 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.248999 | signaturepermissions-required |
| https://sqlite.org/forum/forumpost/5bcbf4571c | related |
| https://sqlite.org/src/info/0e4e7a05c4204b47 | patch |
| https://lists.fedoraproject.org/archives/list/pac… | |
| https://lists.fedoraproject.org/archives/list/pac… | |
| https://security.netapp.com/advisory/ntap-2024011… | |
| https://lists.debian.org/debian-lts-announce/2024… |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SQLite | SQLite3 |
Affected:
3.0
Affected: 3.1 Affected: 3.2 Affected: 3.3 Affected: 3.4 Affected: 3.5 Affected: 3.6 Affected: 3.7 Affected: 3.8 Affected: 3.9 Affected: 3.10 Affected: 3.11 Affected: 3.12 Affected: 3.13 Affected: 3.14 Affected: 3.15 Affected: 3.16 Affected: 3.17 Affected: 3.18 Affected: 3.19 Affected: 3.20 Affected: 3.21 Affected: 3.22 Affected: 3.23 Affected: 3.24 Affected: 3.25 Affected: 3.26 Affected: 3.27 Affected: 3.28 Affected: 3.29 Affected: 3.30 Affected: 3.31 Affected: 3.32 Affected: 3.33 Affected: 3.34 Affected: 3.35 Affected: 3.36 Affected: 3.37 Affected: 3.38 Affected: 3.39 Affected: 3.40 Affected: 3.41 Affected: 3.42 Affected: 3.43 |
guessed |
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"vendor": "SQLite",
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{
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}
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"time": "2023-12-29T10:49:22.000Z",
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}
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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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