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New CVE Detected

CVE-2026-71036 – Unauthenticated Data Modification/RCE Risk – Oracle Commerce Guided Search / Experi

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Summary

CVE-2026-71036 is a critical, easily exploitable vulnerability in Oracle Commerce Guided Search / Oracle Commerce Experience Manager that allows an unauthenticated attacker with network access via HTTP to compromise the application. Successful exploitation permits unauthorized creation, deletion, or modification of critical data, as well as unauthorized access to all data accessible to the application. Oracle rates this vulnerability 9.1 (Critical) on the CVSS v3.1 scale.

Technical details

  • Attack vector: network, over HTTP — no local or adjacent access required
  • Access complexity: low; no authentication or privileges required to exploit
  • No user interaction is necessary to trigger the vulnerability
  • Impact: high confidentiality and high integrity impact (unauthorized data access, creation, deletion, and modification); no impact to availability
  • Oracle’s own record indicates the vulnerability can lead to complete compromise of critical data within the affected component

Affected software

  • Oracle Commerce Guided Search / Oracle Commerce Experience Manager, version 11.4.0

Severity

  • CVSS v3.1 Base Score: 9.1 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Mitigation and recommended actions

  • Immediate: Apply the fix provided in Oracle’s Critical Patch Update for August 2026, which addresses CVE-2026-71036 for Oracle Commerce Guided Search / Oracle Commerce Experience Manager 11.4.0. Consult the official Oracle Critical Patch Update advisory for the exact patch identifiers applicable to your deployment.
  • If immediate patching is not possible, restrict network exposure of the Oracle Commerce Guided Search / Experience Manager endpoints (e.g., place behind a firewall, VPN, or WAF, and limit access to trusted networks) until the patch can be applied.
  • Review logs for unusual or unauthenticated HTTP requests to the Guided Search / Experience Manager components as part of ongoing monitoring.

How IONIX identifies potentially affected assets

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

  • Named response header x-atg-version: value matching ATGPlatform/ followed by a version number
  • Raw response body: presence of an element attribute containing _dyncharset

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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