FKIE_CVE-2018-25147
Vulnerability from fkie_nvd - Published: 2025-12-24 20:15 - Updated: 2026-06-17 01:54
Severity
Summary
Microhard Systems IPn4G 1.1.0 contains hardcoded default credentials that cannot be changed through normal gateway operations. Attackers can exploit these default credentials to gain unauthorized root-level access to the device by logging in with predefined username and password combinations.
References
| URL | Tags | ||
|---|---|---|---|
| disclosure@vulncheck.com | http://www.microhardcorp.com | Product | |
| disclosure@vulncheck.com | https://www.exploit-db.com/exploits/45040 | Exploit | |
| disclosure@vulncheck.com | https://www.zeroscience.mk/en/vulnerabilities/ZSL-2018-5480.php | Exploit, Third Party Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://www.zeroscience.mk/en/vulnerabilities/ZSL-2018-5480.php | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| microhardcorp | ipn4g_firmware | 1.1.0 | |
| microhardcorp | ipn4g | - | |
| microhardcorp | ipn3gb_firmware | 2.2.0 | |
| microhardcorp | ipn3gb | - | |
| microhardcorp | ipn4gb_firmware | 1.1.6 | |
| microhardcorp | ipn4gb | - | |
| microhardcorp | ipn4gb_firmware | 1.1.0 | |
| microhardcorp | ipn4gb | - | |
| microhardcorp | ipn4gb_firmware | 1.1.0 | |
| microhardcorp | ipn4gb | - | |
| microhardcorp | bullet-3g_firmware | 1.2.0 | |
| microhardcorp | bullet-3g | - | |
| microhardcorp | vip4gb_firmware | 1.1.6 | |
| microhardcorp | vip4gb | - | |
| microhardcorp | vip4gb_firmware | 1.1.6 | |
| microhardcorp | vip4gb | - | |
| microhardcorp | vip4gb_wifi-n_firmware | 1.1.6 | |
| microhardcorp | vip4gb_wifi-n | - | |
| microhardcorp | bullet-3g_firmware | 1.2.0 | |
| microhardcorp | bullet-3g | - | |
| microhardcorp | bullet-lte_firmware | 1.2.0 | |
| microhardcorp | bullet-lte | - | |
| microhardcorp | ipn3gii_firmware | 1.2.0 | |
| microhardcorp | ipn3gii | - | |
| microhardcorp | ipn4gii_firmware | 1.2.0 | |
| microhardcorp | ipn4gii | - | |
| microhardcorp | bulletplus_firmware | 1.3.0 | |
| microhardcorp | bulletplus | - | |
| microhardcorp | dragon-lte_firmware | 1.1.0 | |
| microhardcorp | dragon-lte | - |
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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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