Quantifying Internet Privacy and Security Risks in Authentication Recovery Channels

Authentication recovery is an important step, yet it has often been overlooked in digital identity systems. In the event where users forget credentials, lose devices, or get locked out of accounts, a recovery mechanism such as SMS codes, email reset, magic links, or backup codes reinstates access. These days, recovery protection sacrifices their strength and becomes the points of vulnerabilities adversaries come to exploit. Why would a cybercriminal resort to brute-forcing a strong password when a recovery system may be weaker through SIM swap fraud, phishing, or fallback processes poorly executed? This paper studies the privacy and security threats that hide under recovery workflows presented in scholarly literature, industry standards, and technical advisories. It maintains that for account recovery being most commonly done using SMS and email, there are vulnerabilities always present with such recovery methods. Recovery by passkeys and WebAuthn offers more resilient protections yet remains less popular in the practical aspect. In the presence of maybe only some partial direction from standards like NIST SP 800-63B, ISO/IEC 27001, PCI DSS, OWASP guidelines, ENISA advisories, and in line with the FIDO2 specification, there is still no complete global framework issued for governing recovery. This research, by framing recovery as a security and privacy concern, takes a step toward demanding the need for recovery-by-design principles that include consideration of resilience, minimization of identifiers, and transparency to end-users. Without a change to recovery, it will keep eroding digital trust, leaving accounts and personal data exposed.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.908000647
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

Quantifying Internet Privacy and Security Risks in Authentication Recovery Channels

Michael Adedayo Adebayo
International Journal of Research and Innovation in Social Science
Network Security and Intrusion Detection
article

Quantifying Internet Privacy and Security Risks in Authentication Recovery Channels

Michael Adedayo Adebayo
article en

Abstract

Authentication recovery is an important step, yet it has often been overlooked in digital identity systems. In the event where users forget credentials, lose devices, or get locked out of accounts, a recovery mechanism such as SMS codes, email reset, magic links, or backup codes reinstates access. These days, recovery protection sacrifices their strength and becomes the points of vulnerabilities adversaries come to exploit. Why would a cybercriminal resort to brute-forcing a strong password when a recovery system may be weaker through SIM swap fraud, phishing, or fallback processes poorly executed? This paper studies the privacy and security threats that hide under recovery workflows presented in scholarly literature, industry standards, and technical advisories. It maintains that for account recovery being most commonly done using SMS and email, there are vulnerabilities always present with such recovery methods. Recovery by passkeys and WebAuthn offers more resilient protections yet remains less popular in the practical aspect. In the presence of maybe only some partial direction from standards like NIST SP 800-63B, ISO/IEC 27001, PCI DSS, OWASP guidelines, ENISA advisories, and in line with the FIDO2 specification, there is still no complete global framework issued for governing recovery. This research, by framing recovery as a security and privacy concern, takes a step toward demanding the need for recovery-by-design principles that include consideration of resilience, minimization of identifiers, and transparency to end-users. Without a change to recovery, it will keep eroding digital trust, leaving accounts and personal data exposed.

International Journal of Research and Innovation in Social ScienceVol. IX(VIII)
Openalex Percentile: Top 70%
Network Security and Intrusion Detection
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