Google Gvisor Reference Counting resource consumption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Google Gvisor. The affected element is an unknown function of the component Reference Counting. Performing a manipulation results in resource consumption. This vulnerability is identified as CVE-2023-7258. The attack can be initiated remotely. There is not any exploit available. Applying a patch is the recommended action to fix this issue.

Detailsinfo

A vulnerability classified as problematic has been found in Google Gvisor (version now known). This affects some unknown processing of the component Reference Counting. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:

A denial of service exists in Gvisor Sandbox where a bug in reference counting code in mount point tracking could lead to a panic, making it possible for an attacker running as root and with permission to mount volumes to kill the sandbox. We recommend upgrading past commit 6a112c60a257dadac59962e0bc9e9b5aee70b5b6

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2023-7258 since 05/02/2024. The exploitability is told to be difficult. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.

Applying the patch 6a112c60a257dadac59962e0bc9e9b5aee70b5b6 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

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.3

VulDB Base Score: 4.8
VulDB Temp Score: 4.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CNA Base Score: 4.8
CNA Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

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: 6a112c60a257dadac59962e0bc9e9b5aee70b5b6

Timelineinfo

05/02/2024 🔍
05/15/2024 +13 days 🔍
05/15/2024 +0 days 🔍
07/23/2025 +433 days 🔍

Sourcesinfo

Vendor: google.com
Product: github.com

Advisory: 6a112c60a257dadac59962e0bc9e9b5aee70b5b6
Status: Confirmed

CVE: CVE-2023-7258 (🔍)
GCVE (CVE): GCVE-0-2023-7258
GCVE (VulDB): GCVE-100-264501

Entryinfo

Created: 05/15/2024 19:18
Updated: 07/23/2025 00:01
Changes: 05/15/2024 19:18 (63), 03/29/2025 23:03 (4), 07/23/2025 00:01 (12)
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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