mlsanityData to 7 Oct 2026

Vishing-Tactics-Bench: Forecasting Exploitation Trajectories in Voice Phishing Calls

arXiv 2609.07151 ↗First posted 7 Sep 2026cs.CLcited by 1

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Abstract (arXiv)

Voice phishing (vishing) unfolds in real time; by the time a call has ended and post-hoc classification is possible, the harm has already been done. The more actionable question is which concrete harm (Information Gathering or Financial Exploitation) an ongoing call is tactically progressing toward. We present Vishing-Tactics-Bench, a benchmark grounded in Endsley's situation-awareness (SA) framework that recasts vishing defense from after-the-fact fraud classification to harm projection: predicting at each turn whether the call will reach either terminal harm. We adapt MITRE ATT&CK to vishing as a 6-tactic taxonomy (Vishing-Tactics) and label 35,340 scammer utterances across 5,645 synthetic Chinese calls. We define Exploitation Trajectory Forecasting, a survival-style protocol over the two terminal harms with three metrics: AP@k, C-index, and divergence error. Baselines ranging from a Markov heuristic to fine-tuned LLMs show that the tactical trajectory serves as an interpretable representation of the call's tactical state, supporting harm-specific forecasting, which can then be used for the downstream application of intervention selection; a stratified lead-time analysis at a tight false-alarm budget further identifies at what point in a call the trajectory signal yields early warning.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 29 references that are in the map. First posted on arXiv 7 Sep 2026.

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8 of 29 references.

References · 8

  1. 2018Conversations Gone Awry: Detecting Early Signs of Conversational Failurecited by 73
  2. 2024MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversationscited by 21
  3. 2021BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patientscited by 15
  4. 2024Defending Against Social Engineering Attacks in the Age of LLMscited by 15
  5. 2025"It Warned Me Just at the Right Moment": Exploring LLM-based Real-time Detection of Phone Scamscited by 12
  6. 2025TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detectioncited by 12
  7. 2025PsyScam: A Benchmark for Psychological Techniques in Real-World Scamscited by 7
  8. 2023An analysis of scam baiting calls: Identifying and extracting scam stages and scriptscited by 6

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