Captured record
report:4063:titleHeadline captured
arXiv — Cryptography & Security (cs.CR) recorded this headline on Sep 2, 2026. No lawful structured evidence is available yet to explain the underlying event.
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Brief status
Headline captured
Evidence records
1
Structured pivots
0
Publisher text
Available
Forensia structured brief
Only the source headline is captured. Forensia will not present a generic provenance summary as a threat brief.
Captured record
report:4063:titlearXiv — Cryptography & Security (cs.CR) recorded this headline on Sep 2, 2026. No lawful structured evidence is available yet to explain the underlying event.
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source brief
source-authored · cleanedarXiv:2609.00806v1 Announce Type: new Abstract: In 2025, scams were responsible for an estimated $442 billion in direct losses globally. In the United States, reported losses increased by nearly 400% between 2020 and 2025. Though AI in scamming is a relatively new phenomenon, its use significantly changes the economics of scams as well as the bottlenecks in scam operations. In this paper I investigate what interventions will remain effective under this new AI-driven scamming regime. I develop a simple model of scam profits to understand how different interventions asymptotically affect scam op
Cleaned from source-provided descriptive text. This is not independent Forensia analysis. Open the original for the publisher's complete reporting.· sha256:9a93b79bff6c717c…
No structured IOCs, malware families, threat actors or ATT&CK techniques were extracted from this source document.
evidence set
1 recordsGrouping means the records share event anchors. It does not prove that every publisher independently verified the claims.
rights & provenance
Coverage state measures available context, not whether every claim is true or independently corroborated. Unknown publication rights fail closed to metadata and the original source link.
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