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CVE-2026-71053 – Unauthenticated Remote Compromise – Oracle Agile Engineering Data Management 6.2.1

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Summary

CVE-2026-71053 is an improper access control vulnerability (CWE-284) in the Web Services Security component of Oracle Agile Engineering Data Management, part of the Oracle Agile Product Lifecycle Management (PLM) family. It allows an unauthenticated, network-based attacker to fully compromise the affected system, impacting confidentiality, integrity, and availability. Oracle rates the flaw HIGH severity (CVSS 8.1), though it notes the exploit conditions are difficult to achieve.

Technical details

  • Root cause: improper access control (CWE-284) within the Web Services Security component of Agile Engineering Data Management.
  • Trigger conditions: exploitation is possible over HTTP without any authentication or user interaction, but Oracle characterizes the attack complexity as high, indicating specific conditions must be met.
  • Attack vector: network-accessible HTTP interface exposed by the application’s web services layer.
  • Impact: successful exploitation results in complete compromise of the system, with high impact to confidentiality, integrity, and availability.

Affected software

  • Oracle Agile Engineering Data Management version 6.2.1

Severity

  • CVSS v3.1 Base Score: 8.1 (High)
  • Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Apply the fix provided in Oracle’s August 2026 Critical Patch Update for Oracle Agile Engineering Data Management 6.2.1.
  • If patching cannot be performed immediately: restrict network access to the Agile PLM web services interfaces (e.g., via firewall rules or VPN-only access) to limit exposure to trusted networks, and monitor web services traffic for anomalous or unauthenticated 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.

  • Page title: Agile Product Lifecycle Management
  • Response body (HTML): /Agile/static/<hex>/release/agile.css, Build Number:<version> (Build <number>)

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.

Are you exposed?

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