Threat reportPhishingTL-2026-4991

Online Scam Volumes Double to Overtake Phishing (Akamai/Bolster AI data; AI-driven phishing kits and shorter attack lifespans)

mediumACTIVE

Online Scam Volumes Double to Overtake Phishing (TL-2026-4991), also tracked as Akamai State of the Internet Fraud and Abuse Report 2026, is a medium-severity phishing campaign, first published 2026-11-01. It has no confirmed attribution, affects Various Consumers and organizations targeted by online scams and, maps to 5 MITRE ATT&CK techniques (T1480, T1566, T1588.007), and is covered by 9 detection rules and 3 indicators of compromise.

Severity
MEDIUMAssessed severity
CVEs
0None referenced
Techniques
5MITRE ATT&CK
Actors
0Not attributed
Detection rules
9SPL · KQL · Sigma
IOCs
3Indicators of compromise

Key facts for TL-2026-4991

Threat ID
TL-2026-4991
Also known as
Akamai State of the Internet Fraud and Abuse Report 2026
Severity
MEDIUM
Status
ACTIVE
Category
PHISHING
First published
Last reviewed
Attribution confidence
LOW
Motivation
FINANCIAL
Target sectors
retail, finance, consumer, technology
Target regions
Global
Detection rules
9
Indicators of compromise
3

How Online Scam Volumes Double to Overtake Phishing works

Akamai's State of the Internet report, using Bolster AI data, shows online scam detections doubled from 3.2M (Jul-Sep 2025) to 6.4M (Apr-Jun 2026), overtaking phishing. Phishing detections rose 61% while average phishing attack lifespan fell from 48 days (Q4 2025) to 22 days (Q2 2026), driven by reusable phishing kits, AI-generated dynamic templates, multilingual lures and condition-aware evasion.

This is a trend-level intelligence item, not a single exploited vulnerability. Akamai's State of the Internet (Fraud and Abuse) report, drawing on Bolster AI detection data and covered by Infosecurity Magazine on 2026-10-29, reports that online scam detections doubled between July 2025 and June 2026: 3.2 million in July-September 2025 versus 6.4 million in April-June 2026. Scams now outnumber phishing detections. The scam categories named in the coverage are fake stores, investment scams, tech support scams and payment fraud.

Phishing is also growing: detections rose 61% over the period, but the average lifespan of a phishing attack fell from 48 days in Q4 2025 to 22 days in Q2 2026, a drop of more than half. The report attributes this to adversaries using AI to generate dynamic templates, produce multilingual lures at scale and deploy condition-aware evasion, combined with reusable phishing kits. Shorter lifespans mean takedown-based and blocklist-based defenses have a smaller window to act, and detection must rely more on behavioral and brand-impersonation signals than on static indicators.

The coverage also cites an Identity Theft Resource Center (ITRC) report published 2026-10-28 on scam victim impact: over 80% of surveyed victims reported suicidal thoughts, 89% received no response from organizations they contacted, 67.2% felt blamed, and 78.9% of general scam victims paid recovery-scam fees (90.9% among those with suicidal ideation). Recovery scams therefore act as a secondary victimization stage.

No CVE, CVSS score, named threat actor, malware family, or network IOC (IP/domain/hash) is stated in the sources. The full Akamai report sits behind a download form and could not be read in full; this record is limited to what the press coverage and public landing pages evidence. A BeaconBeagle check was not applicable because there are no network IOCs. IOC entries below are behavioral/technique indicators and source entities, not adversary infrastructure.

MITRE ATT&CK techniques used in TL-2026-4991

Defense Evasion

T1480 Execution Guardrails; T1684.001 Impersonation

Initial Access

T1566 Phishing

Resource Development

T1588.007 Obtain Capabilities: Artificial Intelligence

Impact

T1657 Financial Theft

Affected products and versions in Online Scam Volumes Double to Overtake Phishing

  • Various — Consumers and organizations targeted by online scams and phishing (fake stores, investment, tech support, payment fraud)

Remediation for Online Scam Volumes Double to Overtake Phishing

Immediate actions

  • Report and request takedown of impersonating domains and fake stores quickly, since average phishing lifespan is now about 22 days
  • Alert customers and staff to fake-store, investment, tech-support and payment-fraud lures, including multilingual variants
  • Warn victims that recovery-scam offers are a follow-on fraud

Workarounds

  • Enforce phishing-resistant MFA (FIDO2/passkeys) to limit credential-harvesting impact
  • Use secure web gateway or DNS filtering with fast-updating threat feeds

Longer-term hardening

  • Deploy brand-protection and newly-registered-domain monitoring for brand impersonation
  • Use behavioral and content-agnostic phishing detection rather than static template or string matching
  • Run phishing-awareness training that covers AI-generated, localized lures
  • Provide victim-support and escalation paths so scam reports receive a response

Timeline of Online Scam Volumes Double to Overtake Phishing

  • Start of the Jul-Sep 2025 quarter in which 3.2 million online scams were detected (baseline for the doubling)
  • Q4 2025: average phishing attack lifespan measured at 48 days
  • Apr-Jun 2026: scam detections reach 6.4 million, double the Jul-Sep 2025 level and above phishing detections
  • End of Q2 2026: average phishing lifespan down to 22 days; phishing detections up 61% over the period
  • ITRC publishes report on scam victim impact and recovery-scam losses
  • Infosecurity Magazine reports Akamai/Bolster AI findings that scams have overtaken phishing

Sources cited for Online Scam Volumes Double to Overtake Phishing

Detection coverage for TL-2026-4991

As of 2026-11-01, Threadlinqs Intelligence publishes 9 detection rule(s) for TL-2026-4991 across Splunk SPL, Microsoft KQL and Sigma, covering 3 indicator(s) of compromise. The whole corpus is readable without an account; a free account unlocks full detection query text in Splunk SPL, Microsoft KQL and Sigma; paid tiers add raw indicator values, correlation and the MCP server. Threadlinqs MCP server · View plans.

9 detection rules (Splunk SPL, Microsoft KQL, Sigma) · Blue and above. Compare plans
3 indicators of compromise · Red and above. Compare plans

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