CVE-2021-47727 (GCVE-0-2021-47727)
Vulnerability from cvelistv5 – Published: 2025-12-09 20:43 – Updated: 2026-04-07 14:05
VLAI
EPSS
VEX
Title
Selea Targa IP Camera Unauthenticated Stream Disclosure
Summary
Selea Targa IP OCR-ANPR Camera contains an unauthenticated vulnerability that allows remote attackers to access live video streams without authentication. Attackers can directly connect to RTP/RTSP or M-JPEG streams by requesting specific endpoints like p1.mjpg or p1.264 to view camera footage.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-12 16:25 UTC
CWE
- CWE-306 - Missing Authentication for Critical Function
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/49459 | exploit |
| https://www.selea.com | product |
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | third-party-advisory |
| https://github.com/Mbed-TLS/mbedtls | product |
| https://www.vulncheck.com/advisories/selea-targa-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Selea s.r.l. | Selea Targa IP OCR-ANPR Camera |
Affected:
Model: iZero
|
guessed |
Date Public
2021-01-22 00:00
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"value": "LiquidWorm as Gjoko Krstic of Zero Science Lab"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eSelea Targa IP OCR-ANPR Camera contains an unauthenticated vulnerability that allows remote attackers to access live video streams without authentication. Attackers can directly connect to RTP/RTSP or M-JPEG streams by requesting specific endpoints like p1.mjpg or p1.264 to view camera footage.\u003c/p\u003e"
}
],
"value": "Selea Targa IP OCR-ANPR Camera contains an unauthenticated vulnerability that allows remote attackers to access live video streams without authentication. Attackers can directly connect to RTP/RTSP or M-JPEG streams by requesting specific endpoints like p1.mjpg or p1.264 to view camera footage."
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-306",
"description": "CWE-306: Missing Authentication for Critical Function",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-09T20:43:48.814Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"shortName": "VulnCheck"
},
"references": [
{
"name": "ExploitDB-49459",
"tags": [
"exploit"
],
"url": "https://www.exploit-db.com/exploits/49459"
},
{
"name": "Selea s.r.l. Product Homepage",
"tags": [
"product"
],
"url": "https://www.selea.com"
},
{
"name": "Zero Science Lab Disclosure (ZSL-2021-5619)",
"tags": [
"third-party-advisory"
],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2021-5619.php"
},
{
"name": "Mbed TLS GitHub Repository",
"tags": [
"product"
],
"url": "https://github.com/Mbed-TLS/mbedtls"
},
{
"name": "VulnCheck Advisory: Selea Targa IP Camera Unauthenticated Stream Disclosure",
"tags": [
"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/selea-targa-ip-camera-unauthenticated-stream-disclosure"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Selea Targa IP Camera Unauthenticated Stream Disclosure",
"x_generator": {
"engine": "vulncheck"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2021-47727",
"datePublished": "2025-12-09T20:43:48.814Z",
"dateReserved": "2025-12-07T20:10:09.804Z",
"dateUpdated": "2025-12-12T16:25:38.402Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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