Somali authorities have confirmed a serious breach affecting the nation’s electronic visa system. After reports surfaced of an intrusion that placed the personal data of more than 35,000 applicants at risk, Minister of Security Abdullahi Sheikh Ismail Fartag initiated personnel changes and announced a leadership reshuffle within the Immigration and Migration Agency. These measures, he explained, are intended to strengthen oversight of an infrastructure that has come under intense scrutiny following the compromise of a key online service.
The leadership overhaul followed shortly after the agency responsible for processing electronic visas acknowledged unauthorized access to its system. The website through which applications were submitted has since been taken offline, while internal divisions examine activity logs to determine the method of intrusion, the origin of the attack, and the scale of the data leak. Government bodies working with foreign-visitor identification systems are assessing the consequences and evaluating which records may have been copied.
Authorities in the United States and the United Kingdom have warned their nationals of potential risks, noting that the compromised dataset may contain personal information belonging to their travelers. Tourists have been advised to remain mindful of possible repercussions until the nature and extent of the breach are fully established. Meanwhile, local media report that some foreign diplomatic personnel and intelligence officers from partner nations have temporarily left Somalia while awaiting clarification regarding the authenticity and dissemination of the leaked database fragments.
Official institutions in Somalia remain highly cautious in their statements, avoiding premature conclusions and attempting to ease tensions surrounding the incident. International partners, for their part, are seeking firm assurances that Somalia’s national digital services will be restored without exposure to renewed interference and will be capable of safeguarding the confidentiality of sensitive data.