GSD-2023-2618
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
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.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-2618",
"id": "GSD-2023-2618"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-2618"
],
"details": "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.",
"id": "GSD-2023-2618",
"modified": "2023-12-13T01:20:31.873502Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2023-2618",
"STATE": "PUBLIC"
},
"affects": {
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"product": {
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"product_name": "wechat_qrcode Module",
"version": {
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"version_affected": "=",
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"vendor_name": "OpenCV"
}
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"credits": [
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"lang": "en",
"value": "Linkai Zheng"
},
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"value": "NanoApe (VulDB User)"
}
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"data_type": "CVE",
"data_version": "4.0",
"description": {
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"lang": "eng",
"value": "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."
},
{
"lang": "deu",
"value": "Eine problematische Schwachstelle wurde in OpenCV wechat_qrcode Module bis 4.7.0 entdeckt. Betroffen davon ist die Funktion DecodedBitStreamParser::decodeHanziSegment der Datei qrcode/decoder/decoded_bit_stream_parser.cpp. Dank Manipulation mit unbekannten Daten kann eine memory leak-Schwachstelle ausgenutzt werden. Die Umsetzung des Angriffs kann dabei \u00fcber das Netzwerk erfolgen. Der Patch wird als 2b62ff6181163eea029ed1cab11363b4996e9cd6 bezeichnet. Als bestm\u00f6gliche Massnahme wird Patching empfohlen."
}
]
},
"impact": {
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
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"version": "3.0"
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"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"lang": "eng",
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"name": "https://vuldb.com/?id.228548",
"refsource": "MISC",
"url": "https://vuldb.com/?id.228548"
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"url": "https://github.com/opencv/opencv_contrib/pull/3484/commits/2b62ff6181163eea029ed1cab11363b4996e9cd6"
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},
"nvd.nist.gov": {
"cve": {
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"cpeMatch": [
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"criteria": "cpe:2.3:a:opencv:opencv:*:*:*:*:*:*:*:*",
"matchCriteriaId": "1E48C61B-44A4-4B46-8B52-33F0DD50DB35",
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"value": "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."
}
],
"id": "CVE-2023-2618",
"lastModified": "2024-04-11T01:19:52.510",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
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"source": "cna@vuldb.com",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"published": "2023-05-10T06:15:17.577",
"references": [
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"tags": [
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}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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