Vulnerability Monitor

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CVE-2023-2618

A vulnerability, which was classified as problematic, has been found in OpenCV wechat_qrcode Module up to 4.7.0. Affected by this issue is the function DecodedBitStreamParser::decodeHanziSegment of the file qrcode/decoder/decoded_bit_stream_parser.cpp. The manipulation leads to memory leak. The attack may be launched remotely. The name of the patch is 2b62ff6181163eea029ed1cab11363b4996e9cd6. It is recommended to apply a patch to fix this issue. The identifier of this vulnerability is VDB-228548.

Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.3, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts and limited availability for affected systems. Impacting 1 product from opencv organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2023, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.

Published

2023-05-10T06:15:17.577

Last Modified

2024-11-21T07:58:56.557

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.3 (MEDIUM)

CVSSv2 Vector

AV:N/AC:L/Au:N/C:N/I:N/A:P

Access Vector: NETWORK
Access Complexity: LOW
Authentication: NONE
Confidentiality Impact: NONE
Integrity Impact: NONE
Availability Impact: PARTIAL

Exploitability Score

10.0

Impact Score

2.9

Weaknesses

Type: Secondary
CWE-401

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	opencv	opencv	< 4.8.0	Yes

References

https://github.com/opencv/opencv_contrib/pull/3484 Patch ([email protected])
https://github.com/opencv/opencv_contrib/pull/3484/commits/2b62ff6181163eea029ed1cab11363b4996e9cd6 Patch ([email protected])
https://vuldb.com/?ctiid.228548 Permissions Required ([email protected])
https://vuldb.com/?id.228548 Third Party Advisory ([email protected])
https://github.com/opencv/opencv_contrib/pull/3484 Patch (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/opencv/opencv_contrib/pull/3484/commits/2b62ff6181163eea029ed1cab11363b4996e9cd6 Patch (af854a3a-2127-422b-91ae-364da2661108)
https://vuldb.com/?ctiid.228548 Permissions Required (af854a3a-2127-422b-91ae-364da2661108)
https://vuldb.com/?id.228548 Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For opencv's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.