Microsoft Edge AI Product Evasion Red Team Exercise
Edge AI Product
The Azure Red Team executed an evasion exercise against a Microsoft edge AI product by manipulating target images. The test successfully forced machine learning misclassifications.
- first report
- 23 Oct 2020
- last update
- 23 Oct 2020
Timeline · 1
- 23 Oct 2020Microsoft Edge AI Evasion
Sources · 1
Research and catalogues
- 2020-10-23Microsoft Edge AI EvasionMITRE ATLAS · atlas.mitre.org/studies/AML.CS0011
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Research
- AI role
- Attack on AI
- categories
- Adversarial evasion
- severity
- 1 · Research / proof of concept
- targets
- Microsoft, Enterprise deployment
- owasp llm top 10
- no entry for these categories
- dates
- happened Feb 2020 (approx.) · first reported 23 Oct 2020
- origin
- MITRE ATLASDerived from MITRE ATLAS (Apache 2.0, © MITRE).
- record
- confidence 0.95 · created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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the brief as text
# Microsoft Edge AI Product Evasion Red Team Exercise https://gcdradar.vercel.app/incidents/microsoft-edge-ai-product-evasion-red-team-exercise · AIR-2020-0028 · closed 2020-11-06 - Lane: Research - Severity: 1 (Research / proof of concept) - Fix status: Fix status unknown - First reported: 2020-10-23 (happened 2020-02) - AI role: Attack on AI - Products: Edge AI Product ## Summary The Azure Red Team executed an evasion exercise against a Microsoft edge AI product by manipulating target images. The test successfully forced machine learning misclassifications. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2020-10-23: Microsoft Edge AI Evasion (https://atlas.mitre.org/studies/AML.CS0011) ## Sources - 2020-10-23 MITRE ATLAS: Microsoft Edge AI Evasion https://atlas.mitre.org/studies/AML.CS0011 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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