Category | Details |
---|---|
Threat Actors | Gamaredon (aka Aqua Blizzard, Armageddon, BlueAlpha, Hive0051, Iron Tilden, Primitive Bear, Shuckworm, Trident Ursa, UAC-0010, UNC530, Winterflounder), linked to Russia’s Federal Security Service (FSB). |
Campaign Overview | Gamaredon attributed to Android spyware tools BoneSpy and PlainGnome, marking their first use of mobile-only malware families. Likely operational since 2021 (BoneSpy) and 2024 (PlainGnome). |
Target Regions | Former Soviet states: Uzbekistan, Kazakhstan, Tajikistan, Kyrgyzstan. Prior unsuccessful campaigns in NATO countries: Bulgaria, Latvia, Lithuania, Poland. |
Methodology | Use of dynamic DNS providers, overlaps in IP addresses for C2 domains, social engineering (disguised apps like battery monitors, gallery apps, fake Samsung Knox, trojanized Telegram). |
Product Targeted | Mobile devices running Android. |
Malware Reference | BoneSpy: Standalone spyware derived from Droid-Watcher; PlainGnome: Custom malware acting as a dropper for surveillance payloads, requiring REQUEST_INSTALL_PACKAGES permission. |
Tools Used | BoneSpy, PlainGnome, dynamic DNS, Cloudflare Tunnels for staging infrastructure (distributing payloads like GammaDrop). |
Vulnerabilities Exploited | Attempts to gain root access on infected devices, leveraging permissions to install other apps. |
TTPs | – Collects SMS messages, call logs, contacts, device location, browser history, photos, screenshots. – Records audio (phone and ambient). – Tracks notifications, cellular service details. |
Attribution | Based on dynamic DNS usage, IP address overlaps, and functional similarities between mobile and desktop campaigns. |
Recommendations | – Strengthen app vetting procedures. – Raise awareness about social engineering risks. – Deploy Android threat protection solutions. – Monitor for suspicious app permissions and root access attempts. |
Source | The Hackers News |
Read full article: https://thehackernews.com/2024/12/gamaredon-deploys-android-spyware.html
The above summary has been generated by an AI language model
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