CVE-2021-21208 (GCVE-0-2021-21208)
Vulnerability from cvelistv5 – Published: 2021-04-26 16:25 – Updated: 2024-08-03 18:01
VLAI
EPSS
VEX
Summary
Insufficient data validation in QR scanner in Google Chrome on iOS prior to 90.0.4430.72 allowed an attacker displaying a QR code to perform domain spoofing via a crafted QR code.
Severity
6.5 (Medium)
CWE
- Insufficient data validation
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://chromereleases.googleblog.com/2021/04/sta… | x_refsource_MISC |
| https://crbug.com/1039539 | x_refsource_MISC |
| https://www.debian.org/security/2021/dsa-4906 | vendor-advisoryx_refsource_DEBIAN |
| https://security.gentoo.org/glsa/202104-08 | vendor-advisoryx_refsource_GENTOO |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
Impacted products
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"date": "2026-09-17",
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"fkie_nvd": {
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"id": "CVE-2021-21208",
"lastModified": "2024-11-21T05:47:46.757",
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"published": "2021-04-26T17:15:08.273",
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"vulnStatus": "Modified",
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},
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"redhat_vex": {
"current_release_date": "2025-11-21T16:18:30+00:00",
"cve": "CVE-2021-21208",
"id": "CVE-2021-21208",
"initial_release_date": "2021-04-14T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "chromium-browser: Insufficient data validation in QR scanner",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-21208.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2025-03-15T09:12:08Z",
"cve": "CVE-2021-21208",
"id": "CVE-2021-21208",
"initial_release_date": "2023-02-15T03:46:35Z",
"product_status:recommended": "8",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2021-21208",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2021-21208.json",
"version": "6"
}
}
}
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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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