Vulnerability report

Active exploitation observed Confirmed confidence Not in CISA KEV

CVE-2026-6433

Custom CSS JS PHP <= 2.0.7 - Unauthenticated SQL Injection to RCE

Custom css-js-php / Custom CSS JS PHP · 2.0.7 to <= 2.0.7

Severity
CVSS 7.3 · High
Confidence
Confirmed
Exploit status
Observed in sensors
EPSS
0.8%
First observed
12 Jun 2026
Last observed
01 Oct 2026

Decision summary

What security teams need to know first

Direct answers before the deeper technical record.

What it is

CVE-2026-6433 is an unauthenticated Custom CSS JS PHP <= 2.0.7 - Unauthenticated SQL Injection to RCE. The Custom css-js-php WordPress plugin through 2.0.7 does not properly sanitize user input before using it in a...

Is it exploited?

Yes. Previdian sensors observed exploitation attempts with confirmed confidence.

Who is affected?

Custom css-js-php / Custom CSS JS PHP 2.0.7 to <= 2.0.7.

What should we do?

Patch immediately, validate internet-facing exposure, and monitor for matching requests.

Overview

Custom CSS JS PHP <= 2.0.7 - Unauthenticated SQL Injection to RCE

The Custom css-js-php WordPress plugin through 2.0.7 does not properly sanitize user input before using it in a SQL query, and the result is passed to eval(), allowing unauthenticated users to execute arbitrary PHP code on the server.

Unknown Affected
Custom css-js-php
Through 2.0.7
Published
11 May 2026
Exploitation Reported
12 Jun 2026
Attack vector
Remote
Complexity
Low
Privileges
None
User interaction
None

Tags

wordpress php nuclei_scanner

CVE References

  • CVE Record CVE.org · CVE Record https://www.cve.org/CVERecord?id=CVE-2026-6433
  • Exploit — wpscan.com wpscan.com · Exploit https://wpscan.com/vulnerability/a0b1c059-e156-4402-ac8d-67f8ad7386cc/

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

Previdian

Recorded 12 Jun 2026

Previdian independently recorded this as exploited after first seeing it in honeypot sensors.

Active exploitation observed

Previdian sensor

First observed 12 Jun 2026

Previdian first observed exploitation attempts targeting this vulnerability in our honeypot sensors.

Proof of concept available

GitHub

Recorded 16 May 2026

Public scanner or PoC coverage increases practical exploitability.

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
Previdian Sensors First 2026-10-02 09:09 UTC

Operational indicators for this CVE are listed under Detection.

Sensor telemetry

First-party evidence of exploitation activity

Previdian sensors recorded exploitation attempts targeting this vulnerability. The cards and chart show volume, unique attackers, and daily activity.

13

Attempts observed

13

Unique attacker IPs

9

Attacker countries

BG · CH · CN · DE · FR · JP · NL · US · YE

10

Sensors observed

CVE-2026-6433 exploitation attempts over the last 89 days

Daily events observed by Previdian sensors

Updated 04 Oct 2026

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8 Jul 26 Jul 13 Aug 31 Aug 4 Oct

First observed 12 Jun 2026 · Last observed 01 Oct 2026

Pro adds sensor region and window summaries. Enterprise adds raw IPs, paths, User-Agents, and payloads.

Request telemetry access

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
1
4
0

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

Virtual patch status

Previdian virtual patch guidance is available for this CVE.

AWS WAF Cloudflare ModSecurity

Attacker IP Indicators

Attacker IP indicators observed · available in Pro and Enterprise.

Sensor-derived attacker IP indicators are available to Pro and Enterprise accounts under Detection and through the Pro API.

Learn about Pro API access

Scanner Artifacts

Scanner and exploit-framework references linked to this CVE.

Virtual Patch Detail

Compensating WAF rules for this CVE.

Available

Enterprise feature. Virtual patch rule content and deployable vendor exports (ModSecurity, Cloudflare, AWS WAF) are available to Previdian Enterprise users.

Risk and context

Severity, weaknesses, and research context

CVSS v3.1

7.3 High

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:L

EPSS

0.8%

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

Potential Proof of Concepts

These PoCs are unverified and could contain malware. Use at your own risk.

Timeline

From disclosure to observed exploitation

  1. 11:35 UTC

    Virtual patch available

    Compensating WAF rule available to block exploitation

  2. 08:18 UTC

    Indicators of compromise added (4)

    Indicators of compromise recorded

  3. 14:21 UTC

    Public PoC available

    Public proof-of-concept code published

  4. 00:34 UTC

    Observed by Previdian sensors

    Evidence-backed exploitation signal

  5. 15:34 UTC

    Nuclei template available

    Scanner coverage available

  6. 06:00 UTC

    CVE published

    Vulnerability disclosed publicly

  7. 17:16 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.

  • 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-2026-6433

Free JSON includes basic KEV fields
{
  "cve_id": "CVE-2026-6433",
  "confidence": "Confirmed",
  "cvss_score": 7.3,
  "cvss_estimated": false,
  "epss_score": 0.00807,
  "exploit_status": {
    "exploited_in_the_wild": true,
    "active_exploitation_observed": true
  },
  "sensor_telemetry": { "attempts": 13, "sensors": 10 }
}