VDB-237619 · CVE-2023-38976 · Issue 3258

weaviate 1.20.0 handleUnbatchedGraphQLRequest denial of service

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.9	$0-$5k	0.00

Summaryinfo

A vulnerability marked as problematic has been reported in weaviate 1.20.0. This affects the function handleUnbatchedGraphQLRequest. This manipulation causes denial of service. The identification of this vulnerability is CVE-2023-38976. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as problematic was found in weaviate 1.20.0. Affected by this vulnerability is the function handleUnbatchedGraphQLRequest. The manipulation with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability. The summary by CVE is:

An issue in weaviate v.1.20.0 allows a remote attacker to cause a denial of service via the handleUnbatchedGraphQLRequest function.

The weakness was shared 08/22/2023 as 3258. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-38976 since 07/25/2023. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-2241). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

weaviate

Version

1.20.0

Website

Product: https://github.com/weaviate/weaviate/

CPE 2.3info

🔍

CPE 2.2info

🔍

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
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💳	💳	💳	💳	💳	💳
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Denial of service
CWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

07/25/2023 🔍
08/22/2023 +28 days 🔍
08/22/2023 +0 days 🔍
07/27/2025 +705 days 🔍

Sourcesinfo

Product: github.com

Advisory: 3258
Status: Confirmed

CVE: CVE-2023-38976 (🔍)
GCVE (CVE): GCVE-0-2023-38976
GCVE (VulDB): GCVE-100-237619
EUVD: 🔍

Entryinfo

Created: 08/22/2023 07:48
Updated: 07/27/2025 04:27
Changes: 08/22/2023 07:48 (38), 09/14/2023 09:04 (11), 07/27/2025 04:27 (16)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.