CVE-2016-20058 (GCVE-0-2016-20058)
Vulnerability from cvelistv5 – Published: 2026-04-04 13:51 – Updated: 2026-10-27 00:40
VLAI
EPSS
VEX
Title
Netgate AMITI Antivirus build 23.0.305 Unquoted Service Path Privilege Escalation
Summary
Netgate AMITI Antivirus build 23.0.305 contains an unquoted service path vulnerability in the AmitiAvSrv and AmitiAntivirusHealth services that allows local attackers to escalate privileges. Attackers can place a malicious executable in the unquoted service path and trigger service restart or system reboot to execute code with LocalSystem privileges.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-06 17:51 UTC
CWE
- CWE-428 - Unquoted Search Path or Element
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/40540 | exploit |
| http://www.netgate.sk/ | product |
| http://www.netgate.sk/download/download.php?id=11 | product |
| https://www.vulncheck.com/advisories/netgate-amit… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Netgate | NETGATE AMITI Antivirus |
Affected:
23.0.305
cpe:2.3:a:netgate:amiti_antivirus:23.0.305:*:*:*:*:*:*:* |
Date Public
2016-10-17 00:00
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Sightings
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|---|
Nomenclature
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Vulnerability timeline
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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
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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.
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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.