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BAC Data Groups: Security Risks & Fraud Potential

Blog post from Didit

Aggregate trend data notice

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Post Details
Company
Date Published
Author
Didit
Word Count
944
Company Posts That Month
175
Language
English
Hacker News Points
-
Post removed?
No
Summary

E-Passports, guided by the ICAO 9303 standard, are essential for modern international travel, yet their Basic Access Control (BAC) system is susceptible to security weaknesses, posing risks of unauthorized access and fraud. The system relies heavily on pseudo-random number generation to create BAC keys that control access to sensitive data stored on the chip, a process vulnerable to predictability, especially in early implementations with weak algorithms. These vulnerabilities are compounded by structural weaknesses in the BAC data groups, where predictable key diversification and flawed access control policies can be exploited, allowing attackers to potentially decrypt, manipulate, or forge passport data. Real-world attacks have demonstrated the feasibility of these risks, using advanced techniques like side-channel analysis to bypass security, making robust identity verification systems crucial. Didit's identity verification platform addresses these vulnerabilities by employing advanced techniques like cryptographic chip reading, anomaly detection, and real-time threat intelligence to enhance security and integrity in passport verification.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 1 7,450 1,704 292 -47%
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