CVE-2021-23854 (GCVE-0-2021-23854)
Vulnerability from cvelistv5 – Published: 2021-06-09 14:20 – Updated: 2024-09-16 17:32
VLAI
EPSS
VEX
Title
Reflected XSS in page parameter
Summary
An error in the handling of a page parameter in Bosch IP cameras may lead to a reflected cross site scripting (XSS) in the web-based interface. This issue only affects versions 7.7x and 7.6x. All other versions are not affected.
Severity
8.3 (High)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://psirt.bosch.com/security-advisories/bosch… | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Bosch | CPP Firmware |
Affected:
7.70
Affected: 7.72 Affected: 7.62 |
guessed | |
| Bosch | CPP Firmware |
Affected:
7.75
Affected: 7.76 |
guessed |
Date Public
2021-05-20 00:00
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"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2021-06-09T15:15:08.437",
"references": [
{
"source": "psirt@bosch.com",
"tags": [
"Vendor Advisory"
],
"url": "https://psirt.bosch.com/security-advisories/bosch-sa-478243-bt.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://psirt.bosch.com/security-advisories/bosch-sa-478243-bt.html"
}
],
"sourceIdentifier": "psirt@bosch.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "psirt@bosch.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-03-27T14:45:25+00:00",
"cve": "CVE-2021-23854",
"id": "CVE-2021-23854",
"initial_release_date": "2021-05-20T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Reflected XSS in page parameter",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-23854.json",
"version": "3"
}
}
}
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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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