CVE-2025-34021 (GCVE-0-2025-34021)
Vulnerability from cvelistv5 – Published: 2025-06-20 18:37 – Updated: 2026-04-07 14:09 X_Known Exploited Vulnerability| URL | Tags |
|---|---|
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | third-party-advisoryexploit |
| https://www.exploit-db.com/exploits/49457 | third-party-advisoryexploit |
| https://cxsecurity.com/issue/WLB-2021010170 | third-party-advisoryexploit |
| https://packetstorm.news/files/id/161059 | third-party-advisoryexploit |
| https://www.selea.com | product |
| https://vulncheck.com/advisories/selea-targa-ip-c… | third-party-advisory |
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Selea | Targa IP OCR-ANPR Camera |
Affected:
BLD201113005214
(custom)
Affected: BLD201106163745 (custom) Affected: BLD200304170901 (custom) Affected: BLD200304170514 (custom) Affected: BLD200303143345 (custom) Affected: BLD191118145435 (custom) Affected: BLD191021180140 (custom) Affected: CPS 4.013(201105) (custom) Affected: CPS 3.100(200225) (custom) Affected: CPS 3.005(191206) (custom) Affected: CPS 3.005(191112) (custom) |
guessed |
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | video-system |
| 7D Avg | 0 |
| Vendor | Selea |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Targa IP OCR-ANPR Camera |
| Cisa Kev | no |
| Connections | 1 |
| Observation Date | 2026-07-19 |
| Vulnerability Class | None |
| Vulnerability Score | None |
| Vulnerability Severity | None |
References
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Selea Targa IP OCR-ANPR Camera Server-Side Request Forgery |
| Vendor | Selea |
| Product | Targa IP OCR-ANPR Camera |
| Added Date | 2025-06-20T18:37:00.000Z |
| Cvss Score | 7.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
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"tags": [
"third-party-advisory",
"exploit"
],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2021-5617.php"
},
{
"tags": [
"third-party-advisory",
"exploit"
],
"url": "https://www.exploit-db.com/exploits/49457"
},
{
"tags": [
"third-party-advisory",
"exploit"
],
"url": "https://cxsecurity.com/issue/WLB-2021010170"
},
{
"tags": [
"third-party-advisory",
"exploit"
],
"url": "https://packetstorm.news/files/id/161059"
},
{
"tags": [
"product"
],
"url": "https://www.selea.com"
},
{
"tags": [
"third-party-advisory"
],
"url": "https://vulncheck.com/advisories/selea-targa-ip-camera-ssrf"
}
],
"source": {
"discovery": "UNKNOWN"
},
"tags": [
"x_known-exploited-vulnerability"
],
"title": "Selea Targa IP OCR-ANPR Camera Server-Side Request Forgery",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2025-34021",
"datePublished": "2025-06-20T18:37:00.916Z",
"dateReserved": "2025-04-15T19:15:22.545Z",
"dateUpdated": "2026-04-07T14:09:00.779Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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.
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.
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.