Timescale TimescaleDB up to 2.29.1 Gorilla Compression Reverse Row Iterator out-of-bounds

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.0$0-$5k1.57

Summaryinfo

A vulnerability, which was classified as critical, has been found in Timescale TimescaleDB up to 2.29.1. The impacted element is an unknown function of the component Gorilla Compression Reverse Row Iterator. Performing a manipulation results in out-of-bounds. This vulnerability is reported as CVE-2026-70633. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability, which was classified as critical, was found in Timescale TimescaleDB up to 2.29.1. This affects an unknown functionality of the component Gorilla Compression Reverse Row Iterator. The manipulation with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

TimescaleDB through 2.29.1, fixed in commit 517c13e, contains an out-of-bounds read vulnerability in the Gorilla compression reverse row iterator that allows authenticated attackers to cause a denial of service by storing a crafted compressed datum with an internally inconsistent BitArray. Attackers with DML access to a compressed hypertable can trigger an unsigned integer wraparound in the reverse iterator bucket index computation, causing a read beyond the end of the bucket array, resulting in a SIGSEGV crash that can be repeatedly triggered on each subsequent reverse-order scan.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-70633 since 08/04/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Neither technical details nor an exploit are publicly available.

Applying the patch 517c13e7cc6afa4a7deaa7a5a5a29065e5b5a3 is able to eliminate this problem.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔒

Patch: 517c13e7cc6afa4a7deaa7a5a5a29065e5b5a3

Timelineinfo

08/04/2026 CVE reserved
08/07/2026 +3 days Advisory disclosed
08/07/2026 +0 days VulDB entry created
08/07/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-70633 (🔒)
GCVE (CVE): GCVE-0-2026-70633
GCVE (VulDB): GCVE-100-386877

Entryinfo

Created: 08/07/2026 02:44
Changes: 08/07/2026 02:44 (55)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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