Vulnerability report

Exploited in the wild High confidence Not in CISA KEV

CVE-2017-16959

TL-WVR

TP-Link / TL-WVR

Watch CVE-2017-16959 Browse KEV feed
Severity
CVSS 6.5 · Medium
Confidence
High
Exploit status
Exploited in the wild
EPSS
1.9%
First observed
—
Last observed
—

Decision summary

What security teams need to know first

Direct answers before the deeper technical record.

What it is

CVE-2017-16959 is a vulnerability affecting TP-Link TL-WVR and 3 other products. The locale feature in cgi-bin/luci on TP-Link TL-WVR, TL-WAR, TL-ER, and TL-R devices allows remote authenticated users to test for the...

Is it exploited?

Yes. Previdian tracks this CVE as a known exploited vulnerability. Confidence is high. Also confirmed by third-party sources.

Who is affected?

TP-Link / TL-WVR.

What should we do?

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

Overview

TL-WVR

The locale feature in cgi-bin/luci on TP-Link TL-WVR, TL-WAR, TL-ER, and TL-R devices allows remote authenticated users to test for the existence of arbitrary files by making an operation=write;locale=%0d request, and then making an operation=read request with a crafted Accept-Language HTTP header, related to the set_sysinfo and get_sysinfo functions in /usr/lib/lua/luci/controller/locale.lua in uhttpd.

Published
27 Nov 2017
Exploitation Reported
27 Nov 2017
Attack vector
Remote
Complexity
Low
Privileges
Low
User interaction
None

CVE References

Exploitation evidence

Why Previdian 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

The Shadowserver

Recorded 27 Nov 2017

A trusted third party reported exploitation.

Known exploited vulnerability sources

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

Learn about Pro API access
Source Added
The Shadowserver First 2017-11-27 10:00 UTC

Detection

Operational artifacts and observed signals

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

Observed signals

Request targets
User-Agents
Callback hosts
0
0
0

Request targets and User-Agents available in Pro. Callback host details available in Enterprise.

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 v3.0

6.5 Medium

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

CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

EPSS

1.9%

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

Weaknesses

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') CWE-22

All CVSS Scores

CVSS v3.0 6.5 Medium

CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

CVSS v2.0 4.0 Medium

AV:N/AC:L/Au:S/C:P/I:N/A:N

Timeline

From disclosure to observed exploitation

  1. 10:00 UTC

    Added to Previdian KEV Feed

    High-confidence, third-party attested exploitation

  2. 10:00 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.

Start 14-day Pro trial Read API docs
  • 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-2017-16959

Sample API response 
{
  "cve_id": "CVE-2017-16959",
  "confidence": "High",
  "cvss_score": 6.5,
  "cvss_estimated": false,
  "epss_score": 0.0191,
  "exploit_status": {
    "exploited_in_the_wild": true,
    "active_exploitation_observed": false
  },
  "sensor_telemetry": { "attempts": 0, "sensors": 0 }
}