Vyper up to 0.3.10 raw_log storage input validation

CVSS Meta Temp Score
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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 Vyper up to 0.3.10. The affected element is the function raw_log. The manipulation of the argument storage leads to input validation. This vulnerability is uniquely identified as CVE-2024-32645. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Vyper up to 0.3.10. This issue affects the function raw_log. The manipulation of the argument storage with an unknown input leads to a input validation vulnerability. Using CWE to declare the problem leads to CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. Impacted is integrity. The summary by CVE is:

Vyper is a pythonic Smart Contract Language for the Ethereum virtual machine. In versions 0.3.10 and prior, incorrect values can be logged when `raw_log` builtin is called with memory or storage arguments to be used as topics. A contract search was performed and no vulnerable contracts were found in production. The `build_IR` function of the `RawLog` class fails to properly unwrap the variables provided as topics. Consequently, incorrect values are logged as topics. As of time of publication, no fixed version is available.

The advisory is shared at github.com. The identification of this vulnerability is CVE-2024-32645 since 04/16/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/03/2025).

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

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

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

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

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.3
NVD Vector: 🔍

CNA Base Score: 5.3
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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

Exploitinginfo

Class: Input validation
CWE: CWE-20
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/16/2024 🔍
04/25/2024 +9 days 🔍
04/25/2024 +0 days 🔍
01/03/2025 +253 days 🔍

Sourcesinfo

Advisory: GHSA-xchq-w5r3-4wg3
Status: Confirmed

CVE: CVE-2024-32645 (🔍)
GCVE (CVE): GCVE-0-2024-32645
GCVE (VulDB): GCVE-100-262037

Entryinfo

Created: 04/25/2024 23:15
Updated: 01/03/2025 11:20
Changes: 04/25/2024 23:15 (62), 01/03/2025 11:20 (11)
Complete: 🔍
Cache ID: 216::103

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