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CVE-2026-73185 – Unauthenticated SQL Injection – NGG Smart Image Search WordPress Plugin < 4.0.0

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Summary

CVE-2026-73185 is an unauthenticated blind SQL injection vulnerability in the NGG Smart Image Search WordPress plugin, affecting all versions prior to 4.0.0. The flaw allows a remote, unauthenticated attacker to inject SQL into a plugin parameter, with a CVSS v3.1 base score of 9.3 (Critical).

Technical details

  • Root cause: improper neutralization of special elements in SQL commands (CWE-89) within an unsanitized parameter processed by the plugin.
  • Trigger conditions: no authentication or user interaction is required to reach the vulnerable code path.
  • Attack vector: network-based, low attack complexity, exploitable via a crafted HTTP request against the WordPress site.
  • Impact: blind SQL injection enabling unauthorized read access to database contents; scope is changed and availability impact is low, with no integrity impact reported.

Affected software

  • NGG Smart Image Search WordPress plugin: all versions prior to 4.0.0

Severity

  • CVSS v3.1 Base Score: 9.3 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L

Mitigation and recommended actions

  • Immediate: update NGG Smart Image Search to version 4.0.0 or later.
  • If unable to patch immediately: consider disabling or removing the plugin until the update can be applied, and monitor web server/database logs for anomalous query patterns targeting the plugin’s search functionality.

How IONIX identifies potentially affected assets

IONIX matches the following signal against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Raw response body: /wp-content/plugins/ngg-smart-image-search/

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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