CVE-2018-25126 (GCVE-0-2018-25126)
Vulnerability from cvelistv5 – Published: 2025-11-24 20:30 – Updated: 2025-11-25 13:06 X_Known Exploited VulnerabilityTitle
TVT NVMS-9000 Hard-coded API Credentials & Command Injection
Summary
Shenzhen TVT Digital Technology Co., Ltd. NVMS-9000 firmware (used by many white-labeled DVR/NVR/IPC products) contains hardcoded API credentials and an OS command injection flaw in its configuration services. The web/API interface accepts HTTP/XML requests authenticated with a fixed vendor credential string and passes user-controlled fields into shell execution contexts without proper argument sanitization. An unauthenticated remote attacker can leverage the hard-coded credential to access endpoints such as /editBlackAndWhiteList and inject shell metacharacters inside XML parameters, resulting in arbitrary command execution as root. The same vulnerable backend is also reachable in some models through a proprietary TCP service on port 4567 that accepts a magic GUID preface and base64-encoded XML, enabling the same command injection sink. Firmware releases from mid-February 2018 and later are reported to have addressed this issue. Exploitation evidence was observed by the Shadowserver Foundation on 2025-01-28 UTC.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-24 21:02 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://web.archive.org/web/20180614014914/http:/… | vendor-advisorypatchmitigation |
| https://github.com/mcw0/PoC/blob/master/TVT_and_O… | technical-descriptionexploit |
| https://qkl.seebug.org/vuldb/ssvid-97217 | exploit |
| https://blogs.juniper.net/en-us/threat-research/i… | related |
| https://www.vulncheck.com/advisories/tvt-nvms9000… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Shenzhen TVT Digital Technology Co., Ltd. | NVMS-9000 |
Affected:
0 , < mid-February firmware builds
(custom)
cpe:2.3:o:tvt:nvms-9000_firmware:-:*:*:*:*:*:*:* |
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 88d8813f-d40c-43b8-afe5-d70d62e2a08c
Exploited: Yes
Timestamps
First Seen: 2026-01-20
Asserted: 2026-01-20
Last Seen: 2026-07-08
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Shenzhen TVT / Shenzhen TVT Digital Technology DVR/NVR/IPC | Class: video-system | IoT: yes | In CISA KEV: no | Honeypot connections on 2026-07-08: 2318
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 6 |
|---|---|
| Iot | yes |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | video-system |
| 7D Avg | 1 |
| Vendor | Shenzhen TVT |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Shenzhen TVT Digital Technology DVR/NVR/IPC |
| Cisa Kev | no |
| Connections | 2318 |
| Observation Date | 2026-07-08 |
| Vulnerability Class | None |
| Vulnerability Score | None |
| Vulnerability Severity | None |
References
Created: 2026-06-30 09:42 UTC
| Updated: 2026-07-10 01:00 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 84332bbf-1899-48b6-9c15-e03e5ccbaf0e
Exploited: Yes
Timestamps
First Seen: 2025-11-24
Asserted: 2025-11-24
Scope
Notes: KEVIntel entry: TVT NVMS-9000 Hard-coded API Credentials & Command Injection | Affected: Shenzhen TVT Digital Technology Co., Ltd. / NVMS-9000 | CVSS: 9.3 (CRITICAL) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | TVT NVMS-9000 Hard-coded API Credentials & Command Injection |
| Vendor | Shenzhen TVT Digital Technology Co., Ltd. |
| Product | NVMS-9000 |
| Added Date | 2025-11-24T20:30:45.000Z |
| Cvss Score | 9.3 |
| Epss Score | None |
| Cvss Severity | CRITICAL |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 14:03 UTC
| Updated: 2026-07-10 06:14 UTC
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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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