As cited
Copy frozen at (site build).
vulnerabilities
An AI tool found 84 flaws in 5G network software and 23 of them still have no fix
Researchers at Nanyang Technological University deployed AI agents to analyze 4G and 5G network software and discovered 84 previously unreported security flaws. Developers confirmed 83 of the vulnerabilities and assigned CVE identifiers to 81, though 23 remain unpatched. The most severe flaw enables attackers to intercept and redirect a subscriber's data traffic through the attacker's system rather than the intended destination.
Why it matters: Mobile network operators and equipment vendors must prioritize patching these 4G and 5G vulnerabilities to prevent attackers from hijacking subscriber sessions and intercepting traffic, especially as unpatched flaws create immediate exposure in production networks.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
vulnerabilities
An AI tool found 84 flaws in 5G network software and 23 of them still have no fix
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
vulnerabilities
An AI tool found 84 flaws in 5G network software and 23 of them still have no fix
Researchers at Nanyang Technological University deployed artificial intelligence (AI) agents to analyze 4G and 5G network software, discovering 84 previously unreported security flaws. Developers have confirmed 83 of the flaws and assigned 81 CVE identifiers, though 23 remain unfixed. The most severe vulnerability allows attackers to intercept and redirect a subscriber's data traffic.
Why it matters: Mobile network operators and vendors must prioritize patching these flaws to prevent session hijacking and data interception affecting millions of subscribers.
- Source published
- First seen by Cybersecurity Tracker