Vulnerability report

Exploitation attempts observed in the wild High confidence Not in CISA KEV

CVE-2025-60687

LR1200GB Router Command Injection

ToToLink / LR1200GB Router

Watch CVE-2025-60687 Browse KEV feed
Severity
CVSS 6.5 · Medium
Confidence
High
Exploit status
Exploitation attempts observed in the wild
EPSS
6.6%
First observed
—
Last observed
—

Decision summary

What security teams need to know first

Direct answers before the deeper technical record.

What it is

CVE-2025-60687 is an unauthenticated vulnerability affecting ToToLink LR1200GB Router. An unauthenticated command injection vulnerability exists in the ToToLink LR1200GB Router firmware V9.1.0u.6619_B20230130 within...

Have exploitation attempts been observed?

Yes. Exploitation attempts have been reported for this vulnerability. Previdian lists it as a known exploited vulnerability. Also reported by third-party sources. Confidence is high.

Who is affected?

ToToLink / LR1200GB Router.

What should we do?

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

Overview

LR1200GB Router Command Injection

An unauthenticated command injection vulnerability exists in the ToToLink LR1200GB Router firmware V9.1.0u.6619_B20230130 within the cstecgi.cgi binary (sub_41EC68 function). The binary reads the "imei" parameter from a web request and verifies only that it is 15 characters long.

The parameter is then directly inserted into a system command using sprintf() and executed with system(). Maliciously crafted IMEI input can execute arbitrary commands on the router without authentication.

Published
13 Nov 2025
Exploitation Attempts Reported
07 Sep 2026
Attack vector
Remote
Complexity
Low
Privileges
None
User interaction
None

Tags

edge

CVE References

Exploitation evidence

Evidence of exploitation attempts

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

Exploitation attempts observed in the wild

The Shadowserver

Recorded 07 Sep 2026

A trusted third party reported exploitation attempts.

Known exploited vulnerability sources

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

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Source Added
The Shadowserver First 2026-09-07 00:00 UTC

Detection

Operational artifacts and observed signals

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

Scanner coverage

No scanner integrations recorded yet.

Virtual patch status

No Previdian 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 v3.1

6.5 Medium

Potential damage if exploited. Separate from whether attackers are using it.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

EPSS

6.6%

Estimated chance of exploitation in the next 30 days. Previdian's warning comes from evidence, not this score.

Weaknesses

Improper Neutralization of Special Elements used in a Command ('Command Injection') CWE-77

Timeline

From disclosure to observed exploitation attempts

  1. 00:00 UTC

    Added to Previdian KEV Feed

    High-confidence, third-party report of exploitation attempts

  2. 00:00 UTC

    CVE published

    Vulnerability disclosed publicly

  3. 00:00 UTC

    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-2025-60687

Sample API response 
{
  "cve_id": "CVE-2025-60687",
  "confidence": "High",
  "cvss_score": 6.5,
  "cvss_estimated": false,
  "epss_score": 0.06606,
  "exploit_status": {
    "exploited_in_the_wild": true,
    "active_exploitation_observed": false
  },
  "sensor_telemetry": { "attempts": 0, "sensors": 0 }
}