Akira Ransomware Gang

Threat Actor updated 5 months ago (2024-05-04T20:23:02.449Z)
Download STIX
Preview STIX
The Akira ransomware gang, a malicious threat actor in the cybersecurity landscape, has been actively involved in several high-profile cyber attacks. They use sophisticated techniques to infiltrate systems and steal sensitive data, posing significant threats to both private companies and government entities. The lack of standard naming conventions in the cybersecurity industry often complicates the identification and tracking of such groups, but their actions are nonetheless severe and damaging. One of the most notable incidents involving the Akira ransomware gang was the theft of sensitive data from Nissan Australia. The gang claimed responsibility for this breach, which was widely reported in various cybersecurity outlets. This incident highlights the group's ability to penetrate the defenses of even large, well-protected organizations, leading to substantial information loss and potential reputational damage. In another significant attack, the Akira ransomware gang targeted Cisco ASA systems that lacked Multi-Factor Authentication (MFA). This strategy underscores the group's focus on exploiting vulnerabilities in security systems, particularly those without robust authentication measures. By targeting such weaknesses, the gang can gain unauthorized access to systems, encrypt data, and demand ransoms, causing significant disruption and financial losses. These incidents emphasize the need for improved security measures, including the widespread adoption of MFA, to mitigate the risks posed by threat actors like the Akira ransomware gang.
Description last updated: 2024-04-28T15:24:18.915Z
What's your take? (Question 1 of 5)
Help tune the shared Cybergeist dataset, assist your peers, and earn karma. Expand the panel to get started.
Possible Aliases / Cluster overlaps
It's hard to track cluster overlaps and naming conventions between vendors, so here are some possible overlapping names / profiles you also may want to look at. Create a free account to see the source evidence for each alias, and help fix any errors.
Alias DescriptionVotes
Akira is a possible alias for Akira Ransomware Gang. Akira is a notorious malware, specifically a ransomware, that has been active since April 2023. It utilizes dual extortion tactics to compromise various industries, as outlined in a technical analysis shared by cybersecurity researchers. The ransomware's modus operandi includes stealing sensitive da
2
Miscellaneous Associations
Other elements of context that could aid in the identification of relevance
Ransomware
Vpn
Vulnerability
Cisco
University
Analyst Notes & Discussion
Be the first to leave your mark here! Log in to share your views and vote.
Associated Malware
To see the evidence that has resulted in these malware associations, create a free account
Alias DescriptionAssociation TypeVotes
The Lockbit Malware is associated with Akira Ransomware Gang. LockBit is a notorious malware that operates on a ransomware-as-a-service model, which has been responsible for significant cyber attacks across the globe. One of its most high-profile targets was Boeing, from whom the LockBit gang claimed to have stolen data. This incident not only disrupted operatUnspecified
2
Source Document References
Information about the Akira Ransomware Gang Threat Actor was read from the documents corpus below. This display is limited to 20 results, create a free account to see more
PreviewSource LinkCreatedAtTitle
Securityaffairs
2 months ago
Securityaffairs
2 months ago
Securityaffairs
3 months ago
Securityaffairs
3 months ago
Securityaffairs
3 months ago
Securityaffairs
3 months ago
Securityaffairs
4 months ago
Securityaffairs
4 months ago
Securityaffairs
4 months ago
Securityaffairs
5 months ago
Securityaffairs
5 months ago
Securityaffairs
6 months ago
Securityaffairs
6 months ago
Securityaffairs
6 months ago
Securityaffairs
7 months ago
Securityaffairs
7 months ago
Securityaffairs
7 months ago
CERT-EU
7 months ago
CERT-EU
7 months ago
DARKReading
7 months ago