What are the most common malware infection vectors on mobile phones that small business owners accidentally fall for when downloading industry specific apps?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the most common malware infection vectors on mobile phones that small business owners accidentally fall for when downloading industry specific apps?
1 real search · 1 real-search pass
mobile malware infection vectors malicious apps sideloading phishing fake business apps Android iOS CISA FTC small businessGoogle ↗
OBSERVEDConsequence
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
mobile malware infection vectors malicious apps sideloading phishing fake business apps Android iOS CISA FTC small business Google ↗
- APP-14 · pages.nist.gov
- A Threat Analysis of Sideloading · apple.com
- Phishing, Technique T1660 - Mobile · attack.mitre.org
- U.S. DEPARTMENT OF · cisa.gov
- Internet Crime Complaint Center (IC3) | Cyber Criminals Targeting Victims through Mobile Beta-Testing Applications · ic3.gov
- Spyware Allows Cyber Threat Actors to Target Users of Messaging Applications · content.govdelivery.com
- APP-12 · pages.nist.gov
- Evading Residential Proxy Networks: Protecting Your Devices from Becoming a Tool for Criminals · fbi.gov
- Secure Our World · cisa.gov