CVE-2016-3468

CVE-2016-3468 is a critical-severity vulnerability in Oracle Agile Engineering Data Management with a CVSS 3.x base score of 9.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low.

Key facts

Description

Unspecified vulnerability in the Oracle Agile Engineering Data Management component in Oracle Supply Chain Products Suite 6.1.3.0 and 6.2.0.0 allows remote attackers to affect confidentiality, integrity, and availability via vectors related to Install.

Frequently asked questions

What is CVE-2016-3468?
Unspecified vulnerability in the Oracle Agile Engineering Data Management component in Oracle Supply Chain Products Suite 6.1.3.0 and 6.2.0.0 allows remote attackers to affect confidentiality, integrity, and availability via vectors related to Install.
How severe is CVE-2016-3468?
CVE-2016-3468 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2016-3468 being actively exploited?
It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 5% (92nd percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2016-3468?
CVE-2016-3468 primarily affects Oracle Agile Engineering Data Management. In total, 2 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.
How do I fix CVE-2016-3468?
Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its critical severity, prioritise patching exposed systems.
When was CVE-2016-3468 published?
CVE-2016-3468 was published on 2016-07-21 and last updated on 2026-06-17.

References

Affected products (2)

More vulnerabilities in Oracle Agile Engineering Data Management

All CVEs affecting Oracle Agile Engineering Data Management →