CVE-2019-25251 (GCVE-0-2019-25251)
Vulnerability from cvelistv5 – Published: 2025-12-24 19:28 – Updated: 2026-07-15 01:23
VLAI
EPSS
VEX
Title
Teradek VidiU Pro 3.0.3 Server-Side Request Forgery via RTMP Settings
Summary
Teradek VidiU Pro 3.0.3 contains a server-side request forgery vulnerability in the management interface that allows attackers to manipulate GET parameters 'url' and 'xml_url'. Attackers can exploit this flaw to bypass firewalls, initiate network enumeration, and potentially trigger external HTTP requests to arbitrary destinations.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-24 20:01 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/44672 | exploit |
| https://www.teradek.com | product |
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Teradek, LLC | VidiU Pro |
Affected:
3.0.3r32136
Affected: 3.0.2r31225 Affected: 2.4.10 cpe:2.3:h:teradek:vidiu:3.0.3r32136:*:*:*:*:*:*:* cpe:2.3:h:teradek:vidiu:3.0.2r31225:*:*:*:*:*:*:* cpe:2.3:h:teradek:vidiu:2.4.10:*:*:*:*:*:*:* |
Date Public
2018-03-02 00:00
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Sightings
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Nomenclature
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.