CVE-2026-70635 (GCVE-0-2026-70635)
Vulnerability from cvelistv5 – Published: 2026-08-06 16:54 – Updated: 2026-08-14 16:51 X_Open Source
VLAI
EPSS
VEX
Title
TimescaleDB 2.29.1 Out-of-Bounds Read DoS via Bulk Dictionary Decompression Negative Index
Summary
TimescaleDB through 2.29.1, fixed in commit 517c13e, contains an out-of-bounds read vulnerability that allows authenticated attackers to cause query-result integrity failures or backend crashes by supplying a crafted Simple8b selector-11 value, which is stored in the signed int16 Arrow dictionary-index type and bypasses index validation checks in bulk text dictionary decompression. Attackers with direct DML access to a non-frozen physical compressed hypertable relation can trigger an out-of-bounds read before the base of the live offsets array through the VectorAgg single-text hashing strategy, resulting in incorrect aggregation output, backend SIGSEGV, or PostgreSQL crash recovery depending on build configuration.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-07 14:01 UTC
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/timescale/timescaledb/pull/10360 | issue-tracking |
| https://github.com/timescale/timescaledb/commit/5… | patch |
| https://www.vulncheck.com/advisories/timescaledb-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| timescale | timescaledb |
Affected:
0 , ≤ 2.29.1
(semver)
Unaffected: 517c13e7cc6afadb4a7deaa7a5a5a29065e5b5a3 (git) cpe:2.3:a:timescale:timescaledb:*:*:*:*:*:*:*:* |
Date Public
2026-07-29 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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