LockerGoga

Malware updated 22 days ago (2024-11-29T14:30:16.307Z)
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LockerGoga is a type of malware, specifically ransomware, that infiltrates computer systems and holds data hostage until a ransom is paid. This malicious software was notably deployed in an attack against Norsk Hydro in March 2019. The malware was distributed by the threat group FIN6, which traditionally targeted payment card data from Point-of-Sale (POS) or eCommerce systems. However, they expanded their operations to include targeted ransomware attacks, such as those involving LockerGoga and Ryuk. FireEye's Mandiant Incident Response investigations and intelligence research have identified connections between FIN6 and multiple instances of these ransomware attacks. The deployment of LockerGoga involves the use of batch script files, with Psexec being used for executing batch and PowerShell scripts and the final execution of LockerGoga across as many devices as possible. The LockerGoga ransom note is presented to victims after the malware has been undetected in compromised systems for some time, often months. The criminals demand payment in bitcoin in exchange for decryption keys. The threat actors are affiliates of various ransomware operations, including LockerGoga, MegaCortex, HIVE, and Dharma, and are known for targeting large corporations. Despite the potential devastation caused by LockerGoga, there are defenses available. For instance, Panda Adaptive Defense, an advanced cybersecurity solution combining EPP and EDR systems, was able to detect LockerGoga via generic signatures, effectively protecting its customers from infection. If individuals or companies are affected by LockerGoga, tools are available to recover files for free. As the fight against ransomware continues, it is crucial to implement robust cybersecurity strategies to prevent future infections.
Description last updated: 2024-10-15T09:24:54.296Z
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Miscellaneous Associations
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Ransomware
Ransom
Malware
Encryption
PowerShell
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Associated Malware
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Alias DescriptionAssociation TypeVotes
The MegaCortex Malware is associated with LockerGoga. MegaCortex is a type of malware known for its harmful effects on computer systems and devices. It was identified by Dragos, a cybersecurity firm, as having a relationship with another ransomware called EKANS. Both MegaCortex and EKANS have specific characteristics that pose unique risks to industriaUnspecified
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The Hive Malware is associated with LockerGoga. Hive is a form of malware, specifically ransomware, designed to exploit and damage computer systems. It infiltrates systems through suspicious downloads, emails, or websites, often without the user's knowledge. Once inside, Hive can steal personal information, disrupt operations, or hold data hostagUnspecified
4
The WannaCry Malware is associated with LockerGoga. WannaCry is a notorious malware that gained global attention in 2017 when it was responsible for the biggest ransomware attack to date. The malware, designed to exploit and damage computer systems, infects systems through suspicious downloads, emails, or websites. Once inside a system, WannaCry can Unspecified
2
The Ryuk Malware is associated with LockerGoga. Ryuk is a type of malware known as ransomware, which has been utilized by the threat group ITG23 for several years. This group has been notorious for crypting their malware, with crypters seen in use with other malware such as Trickbot, Emotet, Cobalt Strike, and Ryuk. In 2019, most ransomware invesUnspecified
2
Source Document References
Information about the LockerGoga Malware was read from the documents corpus below. This display is limited to 20 results, create a free account to see more
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CERT-EU
a year ago
CERT-EU
a year ago
DARKReading
a year ago
Securityaffairs
a year ago
CERT-EU
a year ago
CERT-EU
a year ago
BankInfoSecurity
a year ago
InfoSecurity-magazine
a year ago
CERT-EU
a year ago
CERT-EU
a year ago
CERT-EU
2 years ago
Flashpoint
a year ago
MITRE
2 years ago
MITRE
2 years ago
MITRE
2 years ago
MITRE
2 years ago
MITRE
2 years ago
MITRE
2 years ago
GovCERT CH
2 years ago
Bitdefender
2 years ago