Guildma (Astaroth) malware infection from Brazilian Portuguese email, (Tue, Sep 1st)

ANALYST: BIVASH KUMAR NAYAK (CHIEF SECURITY ARCHITECT) • PUBLISHED: Wednesday, 2 September 2026
Guildma (Astaroth) malware infection from Brazilian Portuguese email, (Tue, Sep
■ Executive Risk Command Center
CISA KEV
Unknown
Unknown or unavailable; no negative claim is made

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Source-linked automated security intelligence with explicit evidence status and provenance.

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📅 September 02, 2026  |  📂 Malware Research  |  🛡 CYBERDUDEBIVASH®
CYBER THREAT INTELLIGENCE · UNRATED
CDB-CTI-2026-CC5933AE66DA · Generated 2026-09-02T00:15:00.269722Z
Executive Summary

Introduction

Decision: Validate relevance and exposure using the cited source and internal evidence before treating this record as an incident, confirmed compromise, or customer-specific finding.

Threat Classification and Evidence Status
Intelligence family
Cyber Threat Intelligence
Technical severity
UNRATED
Exploitation
Not applicable to this intelligence format
Patch/remediation
Not applicable to this intelligence format
Verified Facts
Source type: Cyber Threat Intelligence
Source publication time: 2026-09-01T21:30:18+00:00
KEV catalog check: Unknown or unavailable; no negative claim is made.
Intelligence Assessment

Evidence boundary: Conclusions are limited to the cited source record. No affected-customer scope, attribution, exploitation, or financial impact is inferred.

Operational Decisions
Validate relevance: Determine whether the cited technology, organization, actor, or behavior exists in the environment.
Collect evidence: Preserve source records and internal telemetry before escalating a hypothesis to an incident or vulnerability finding.
Assign ownership: Route confirmed exposure to the accountable security, engineering, risk, or privacy owner with an explicit decision deadline.
Source Evidence Extract
Source Publisher: SANS Internet Storm Center
Original Article: https://isc.sans.edu/diary/rss/33300
Introduction

This extract is escaped and rendered from the ingested source record; generated analysis is not presented as a source fact.

Detection Engineering
DETECTION STATUS: NOT_APPLICABLE

The source is an intelligence/news record without threat-specific telemetry or observables.

Track the cited development through the relevant risk, governance, or incident-management process.
Create detection content only after a concrete attack behavior, log source, and testable observable are confirmed.
References
AI-Native Automated Intelligence — Evidence-Graph Verified. Public reference draft — not a certified customer deliverable. Customer-specific action requires exposure validation and accountable human approval.
Source Reliability & Corroboration

SANS Internet Storm Center

Source Reliability: C
Information Credibility: 3 (Possibly True)
Overall Analytical Confidence: MEDIUM

Reported by a single identified source; an independent second source has not been found (see the evidence ledger).

Intelligence Gaps
Known Unknown: Whether an independent second source corroborates this record has not been assessed.
Would be resolved by: A second, independent source reporting the same underlying fact.

🎯 Recommended For This Threat

Incident ResponseDigital Forensics · IR Retainer
Detection EngineeringVersioned Sigma · YARA · SIEM Content

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Contact: bivash@cyberdudebivash.com · Website: https://cyberdudebivash.com
Intelligence source: https://isc.sans.edu/diary/rss/33300 · CYBERDUDEBIVASH® SENTINEL APEX Evidence Engine v3.0
Provenance and Certification
Report IDCDB-CTI-2026-CC5933AE66DA
Source systemglobal_rss
Source published2026-09-01T21:30:18+00:00
Source-record SHA-256cc5933ae66da5b3fa1f4d16e93746aba614bdb47a1bb776d141435cdb5ca3a63
Generated UTC2026-09-02T00:15:00.279258Z
Production ModeAI-Native Automated Intelligence — Evidence-Graph Verified
CertificationPublic Intelligence Certification: FLASH_READY (automated evidence-graph certification — see Provenance for the source basis)