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Differential Information Flow Tracking

Technique ☆ WATCH ⎘ SHARE

First seen 6/13/2026

Last seen 6/13/2026

Evidence 8 chunks

01

NEIGHBORHOOD

7 nodes · 7 edges

graph · Differential Information Flow Tracking · depth=1

02

RELATIONSHIPS

6 connections

CellIFT derived from → 95% 2e evidence

Differential IFT is derived from CellIFT but modifies control taint propagation rules to avoid over-tainting.

DejaVuzz: Disclosing Transient Execution Bugs with Dynamic Swappable Memory and Differential Information Flow Tracking Assisted Processor Fuzzing ← introduces 100% 2e evidence

The paper introduces differential information flow tracking as a novel operating primitive.

DejaVuzz ← uses 100% 1e evidence

DejaVuzz utilizes differential information flow tracking as one of its two core operating primitives.

Control Flow Over-Tainting implements → 100% 1e evidence

Differential information flow tracking mitigates the control flow over-tainting problem by comparing secrets across two DUT instances.

Taint Propagation implements → 90% 1e evidence

Differential IFT implements taint propagation policies that check cross-instance comparison signals.

Design Under Test uses → 90% 1e evidence

Differential IFT uses two identical DUT instances with different secrets to compare microarchitectural behaviors.