KEV Intelligence

Vulnerability report

Exploited in the wild High confidence Not in CISA KEV

CVE-2018-25118

GV-BX1500 Command Injection

GeoVision Inc. / GV-BX1500 · affected before November/December 2017 firmware

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Severity
CVSS 10.0 · Critical
Confidence
High
Exploit status
Exploited in the wild
EPSS
1.3%
First observed
—
Last observed
—

Decision summary

What security teams need to know first

Direct answers before the deeper technical record.

What it is

CVE-2018-25118 is an unauthenticated vulnerability affecting GeoVision Inc. GV-BX1500 and 2 other products. GeoVision embedded IP devices, confirmed on GV-BX1500 and GV-MFD1501, contain a remote command injection...

Is it exploited?

Yes. KEV Intelligence tracks this CVE as a known exploited vulnerability. Confidence is high.

Who is affected?

GeoVision Inc. / GV-BX1500 affected before november/december 2017 firmware.

What should we do?

Prioritize remediation. Validate affected assets and apply vendor fixes on an accelerated timeline.

Overview

GV-BX1500 Command Injection

GeoVision embedded IP devices, confirmed on GV-BX1500 and GV-MFD1501, contain a remote command injection vulnerability via /PictureCatch.cgi that enables an attacker to execute arbitrary commands on the device. The vulnerable models have been declared end-of-life (EOL) by the vendor.

VulnCheck has observed this vulnerability being exploited in the wild as of 2025-10-19 08:55:13.141502 UTC.

Vendor Product Affected Status
GeoVision Inc. GV-BX1500 Before November/December 2017 firmware Affected
GeoVision Inc. GV-MFD1501 Before November/December 2017 firmware Affected
GeoVision Inc. GeoVision embedded IP devices Before November/December 2017 firmware Affected
View vendor advisory (opens in new tab)
Published
20 Oct 2025
Exploitation Reported
20 Oct 2025
Attack vector
Remote
Complexity
Low
Privileges
None
User interaction
None

CVE References

Exploitation evidence

Why KEV Intelligence marks this CVE as exploited

Third-party attestation and first-party sensor observation are shown separately so teams can judge the evidence chain.

Exploited in the wild

CVE

Recorded 20 Oct 2025

Independent exploitation attestation added to the KEV Intelligence record.

Known exploited vulnerability sources

Per-source evidence links for KEV attestations are available through the KEV Intelligence Pro API.

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Source Added
The Shadowserver First 2025-10-20 21:14 UTC

Detection

Operational artifacts and observed signals

Make the evidence actionable in scanner, SOC, and edge-control workflows.

Observed signals

Request targets
0
User-Agents
0

Raw values available in Pro and Enterprise.

Scanner coverage

No scanner integrations recorded yet.

Virtual patch status

No KEV Intelligence virtual patch is currently available. Future rules ship for ModSecurity, Cloudflare, and AWS WAF.

Learn about virtual patches →

No detection artifacts or sensor request patterns are available for this CVE yet.

Check back as sensor telemetry and scanner integrations are updated.

Risk and context

Severity, weaknesses, and research context

CVSS v4.0

10.0 Critical
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

EPSS

1.3%

Weaknesses

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') CWE-78

Timeline

From disclosure to observed exploitation

  1. CVE published

    Vulnerability disclosed publicly

  2. Added to KEV Intelligence KEV Feed

    High-confidence, third-party attested exploitation

  3. CVE ID reserved

    Identifier reserved by the CNA

Pro API

Automate this intelligence

Confidence, exploit status, sensor telemetry, PoCs, scanner integrations, mentions, and tags are available programmatically for VM, SOC, and CTI workflows.

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  • Evidence confidence and provenance
  • First-party sensor telemetry
  • PoC and scanner references
  • Affected versions and enrichment
  • Automation-ready JSON delivery

GET /api/v2/pro/kevs/CVE-2018-25118

Free JSON includes basic KEV fields 
{
  "cve_id": "CVE-2018-25118",
  "confidence": "High",
  "cvss_score": 10.0,
  "cvss_estimated": false,
  "epss_score": 0.013,
  "exploit_status": {
    "exploited_in_the_wild": true,
    "active_exploitation_observed": false
  },
  "sensor_telemetry": { "attempts": 0, "sensors": 0 }
}

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