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Identity-based segmentation neutralizes Apache Log4j exploit

ID: 8c5bb089-9adc-50a0-8004-9d76458ea575

STIX ID: report--8c5bb089-9adc-50a0-8004-9d76458ea575

Feed Name: Zscaler Security Research Blog

Threat Score
90/100

Date Published: 2025-04-02

Date Updated: 2026-05-01

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Zscaler ThreatLabz observed exploit attempts against the critical Log4j RCE (CVE-2021-44228) and recommends preventing and containing attacks using identity-based workload microsegmentation. The report explains how software identity (down to subprocess/JAR level) and least-privilege policies block inbound/outbound malicious communications, stop lateral movement and exfiltration, and aid inventorying vulnerable Log4j instances via fingerprint hashes and threat feeds.

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