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the claim

Enabling multi-factor authentication blocks more than 99 percent of automated account takeover attacks.

the verdict
CONTESTED PARTIAL
Recorded sources
4 sources for · 1 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that enabling multi-factor authentication blocks more than 99 percent of automated account takeover attacks?

Partly. Several sources describe MFA as an extra layer of security against credential stuffing, brute force and account takeover fraud, while one peer-reviewed paper stresses that MFA is not bulletproof and can itself be attacked. None of the retrieved items reports the specific figure that MFA blocks more than 99 percent of automated account takeover attacks.

Verdict: CONTESTED PARTIAL · 4 sources for, 1 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 4
Secure Your Accounts and Devices With Multi-Factor Authentication (ITSAP.30.030)
2023
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Secure Your Accounts and Devices With Multi-Factor Authentication (ITSAP.30.030). (2023). open.canada.ca. https://open.canada.ca/data/en/dataset/f467d11f-ea61-43b0-a7f4-b6d27cec604d

Evidence against · 1
Attacks against Multi-factor Authentication
2024
Get citation
Attacks against Multi-factor Authentication. (2024). doi.org. https://doi.org/10.30534/ijacst/2024/0113102024

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More for · 3
Harnessing AI and Two Factor Authentication for Enhanced Fraud Detection: How to craft Dynamic Friction in Account Takeover Fraud Detection
2024
Get citation
Matta, P. (2024). Harnessing AI and Two Factor Authentication for Enhanced Fraud Detection: How to craft Dynamic Friction in Account Takeover Fraud Detection. doi.org. https://doi.org/10.55041/isjem00436

Combating SIM Swap Fraud in Telecommunications: A Machine Learning Approach and Multi-Factor Authentication as a Preventive Strategy
2025
Get citation
Sotonye, I. T., Eyidia, N., & Abidde, W. N. (2025). Combating SIM Swap Fraud in Telecommunications: A Machine Learning Approach and Multi-Factor Authentication as a Preventive Strategy. zenodo.org. https://doi.org/10.5281/zenodo.15591954

Secure Authentication System based on Multifactor Authentication
2026
Get citation
Singh, S., Singh, P., & Sir, A. R. (2026). Secure Authentication System based on Multifactor Authentication. zenodo.org. https://doi.org/10.5281/zenodo.22031093

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