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CVE-2026-70977 – Unauthenticated Data Manipulation / Denial-of-Service – Oracle Commerce Guided Sear

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Summary

CVE-2026-70977 is a critical vulnerability in the Content Acquisition System component of Oracle Commerce Guided Search / Oracle Commerce Experience Manager, version 11.4.0. The flaw allows an unauthenticated attacker with network access via HTTP to compromise the component, leading to unauthorized modification of data and denial-of-service conditions. Oracle rates the issue 9.1 (Critical) on the CVSS v3.1 scale and disclosed it in the August 2026 Critical Security Patch Update.

Technical details

  • Root cause: A flaw in the Content Acquisition System component of Oracle Commerce Guided Search / Experience Manager that permits unauthorized actions without authentication.
  • Trigger conditions: The affected component must be reachable over the network via HTTP; no credentials or user interaction are required.
  • Attack vector: Network-based (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N).
  • Impact: High integrity impact (unauthorized creation, deletion, or modification of critical data) and high availability impact (denial-of-service/system crash); no confidentiality impact.

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:N/I:H/A:H

Mitigation and recommended actions

  • Immediate: Apply the fix provided by Oracle in the August 2026 Critical Security Patch Update for Oracle Commerce Guided Search / Oracle Commerce Experience Manager 11.4.0.
  • If patching cannot be applied immediately: Restrict network access to the Content Acquisition System component so it is not reachable from untrusted networks, and monitor exposed Oracle Commerce instances for unusual HTTP requests until the patch is applied.

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.

  • HTTP response header x-atg-version: value matching ATGPlatform/ followed by a version number
  • Raw response body (HTML): 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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