Skip to main content
Mallory
Back to malware
MalwareRansomwareUsed by 3 actors

Gameover ZeuS

Also known asP2P ZeuSPeer-to-Peer ZeuS

GameOver Zeus (GOZ), also referred to as peer-to-peer Zeus or P2P Zeus, is a Zeus-based banking trojan and botnet malware family active in the wild from September 2011 until its major disruption in May/June 2014. It primarily targeted Microsoft Windows systems and was used to steal banking and other online credentials from infected computers. Reported infection vectors included spam and phishing emails, malicious links and attachments, compromised websites, and drive-by installation via outdated browser plugins. The malware captured credentials through keystroke logging, man-in-the-browser attacks, and browser/web injects that altered legitimate banking pages and solicited additional sensitive data such as Social Security numbers and credit card numbers.

A defining characteristic of GameOver Zeus was its decentralized, encrypted command-and-control architecture. Unlike earlier Zeus variants that relied on centralized servers, GOZ used a peer-to-peer network of infected hosts, proxy nodes, and web servers for command and control, malware updates, configuration distribution, and exfiltration of stolen data. This architecture made disruption more difficult and removed a single point of failure. The malware also used domain generation algorithms (DGA); reporting cited variants generating 1,000 or 10,000 domains per day, with infected hosts contacting generated domains regularly to locate command infrastructure.

Beyond credential theft, infected systems were used as part of a botnet for spam distribution and distributed denial-of-service attacks. Multiple sources state that GOZ operators used DDoS attacks against victims and their banks shortly after thefts. The malware also had the capability to install additional payloads and was one of the primary delivery mechanisms for CryptoLocker ransomware. Authorities stated that GOZ and CryptoLocker together infected hundreds of thousands of computers worldwide, and that CryptoLocker was deployed onto numerous GOZ-infected systems.

The malware is strongly associated with Russian national Evgeniy Mikhailovich Bogachev, also known as Slavik, lucky12345, and Pollingsoon, who was identified by U.S. authorities as a leader/administrator of the criminal enterprise behind GOZ. Reporting also linked GOZ operations to a core criminal group sometimes referred to as the "Business Club," with associates in Russia and Ukraine. Some reporting further stated that a GameOver Zeus strain was configured to collect security-related documents in Georgia, Turkey, and Ukraine, and that researchers observed searches on infected systems for intelligence- and geopolitics-related material; however, these espionage-related uses were described in reporting about operator activity rather than as core malware functionality.

GameOver Zeus was assessed to have infected roughly 500,000 to more than 1 million computers globally and to have caused losses exceeding $100 million. Victims included businesses and financial institutions in the United States and Europe, with cited cases involving unauthorized wire transfers against companies, a tribe, and a regional bank. Public reporting and court documents also described specific phishing lures spoofing organizations such as NACHA and noted use of money mules to receive stolen funds and move them overseas.

Known operational and investigative details include its use against hacked Microsoft Windows computers, peer/proxy-based C2, DGA-based fallback communications, and its role as a distribution platform for CryptoLocker. A major multinational law-enforcement and private-sector disruption effort, Operation Tovar, seized control of the botnet in 2014.

Share:
For your environment

Hunt this family in your stack

Mallory pivots from this family to the IOCs, detections, and named campaigns that touch your stack, and pages you when something new lands.

THREAT ACTORS

Groups observed using it

3 distinct threat actors attributed by public researchers. Open in Mallory to see the full evidence chain and overlapping campaigns.

View more details
JabberZeuS

GameOver ZeuS, GOZ, peer-to-peer ZeuS, P2P-ZeuS and ZeuS3 are analogous to each other and refer to a ZeuS based malware family, which was active in the wild from September 2011 till May 2014.

via blackhatblackhat.com
GOLD EVERGREEN

"...operated the Zeus and Gameover Zeus botnets until international law enforcement action in May 2014."

via secureworks threat profilessecureworks.com
The Business Club

"...operated the Zeus and Gameover Zeus botnets until international law enforcement action in May 2014."

via secureworks threat profilessecureworks.com
MITRE ATT&CK

Techniques & procedures

30 distinct techniques documented for this family, organized by ATT&CK tactic.

Resource Development

2 techniques
T1584.005BotnetEvidence1

There is evidence he also was using his own botnet kit or at least taking a fee to set up instances of it on behalf of buyers. In late 2009, security researchers had tracked dozens of Zeus control servers

T1585.002Email AccountsEvidence1

According to U.S.-CERT, GOZ infected machines can participate in attacks, send spam and swipe user data.

Initial Access

4 techniques
T1189Drive-by CompromiseEvidence2

The links in the email have been replaced with those of compromised sites that will silently probe the visitor’s browser for outdated plugins that can be leveraged to install malware.

T1566PhishingEvidence3

According to a 2012 research paper published by Dell SecureWorks, the Gameover Trojan is principally spread via Cutwail, one of the world’s largest and most notorious spam botnets... These junk emails typically spoof trusted brands... The email lures bearing Gameover often come in the form of an invoice, an order confirmation, or a warning about an unpaid bill.

T1566.001Spearphishing AttachmentEvidence1

GOZ typically infects a machine via a phishing attack and other bogus emails.

T1566.003Spearphishing via ServiceEvidence1

When building an executable... The subbotnet names were typically used for identifying specific campaigns for spreading. Some where dated, and others were named descriptively after the spam service used or the spam theme such as “irs”.

Execution

1 technique
T1059Command and Scripting InterpreterEvidence1

Some of the most commonly used commands used by attackers are: user_execute <url> ... The user_execute command was used specifically for CryptoLocker installations too

Privilege Escalation

1 technique
T1055Process InjectionEvidence1

the government believes is responsible for building and distributing the ZeuS banking Trojan . Bogachev is thought to be a core architect of ZeuS, a malware strain that has been used to steal hundreds of millions of dollars from bank accounts

Stealth

2 techniques
T1027.013Encrypted/Encoded FileEvidence1

GOZ, however, utilizes a P2P network of infected hosts to communicate and distribute data, and employs encryption to evade detection.

T1055Process InjectionEvidence1

the government believes is responsible for building and distributing the ZeuS banking Trojan . Bogachev is thought to be a core architect of ZeuS, a malware strain that has been used to steal hundreds of millions of dollars from bank accounts

Credential Access

6 techniques
T1056Input CaptureEvidence3

The principal purpose of GOZ is to capture banking credentials from infected computers. One means by which GOZ accomplishes this is through ... attacks, in which GOZ intercepts sensitive information victims transmit from their computers.

T1056.001KeyloggingEvidence1

others used it just as a piece of malware to log information that ZeuS collected from victims from either the keystroke logging, or the built-in POST data logging

T1056.003Web Portal CaptureEvidence2

the Defendants use GOZ to inject additional code into victims' web browsers that changes the appearance of the websites victims are viewing. For example, if a GOZ-infected user were to visit a banking website that typically requests only a username and password, the defendants could seamlessly inject additional form fields into the website displayed in the user's web browser that also request the user's social security number, credit card numbers, and other sensitive information.

T1056.004Credential API HookingEvidence1

In 2007 the first large scale attacks took place, that used the ZeuS bank attack configuration called “webinjects”... While ZeuS is a versatile malware kit... its key strength is in browser manipulation through the use of its dynamic configuration.

T1539Steal Web Session CookieEvidence2

Some of the most commonly used commands used by attackers are: ... user_cookies_get ... Most of these commands are used... to... get a session cookie

T1649Steal or Forge Authentication CertificatesEvidence1

Some of the most commonly used commands used by attackers are: ... user_certs_get ... Most of these commands are used... to... get... soft certificate files

Discovery

1 technique
T1083File and Directory DiscoveryEvidence1

During our research, we found a large amount of search queries which were executed on the victim systems... focused on locating “government classified” material

Collection

7 techniques
T1005Data from Local SystemEvidence1

During our research, we found a large amount of search queries which were executed on the victim systems. The search queries consisted of a number of keywords... focused on locating “government classified” material

T1056Input CaptureEvidence3

The principal purpose of GOZ is to capture banking credentials from infected computers. One means by which GOZ accomplishes this is through ... attacks, in which GOZ intercepts sensitive information victims transmit from their computers.

T1056.001KeyloggingEvidence1

others used it just as a piece of malware to log information that ZeuS collected from victims from either the keystroke logging, or the built-in POST data logging

T1056.003Web Portal CaptureEvidence2

the Defendants use GOZ to inject additional code into victims' web browsers that changes the appearance of the websites victims are viewing. For example, if a GOZ-infected user were to visit a banking website that typically requests only a username and password, the defendants could seamlessly inject additional form fields into the website displayed in the user's web browser that also request the user's social security number, credit card numbers, and other sensitive information.

T1056.004Credential API HookingEvidence1

In 2007 the first large scale attacks took place, that used the ZeuS bank attack configuration called “webinjects”... While ZeuS is a versatile malware kit... its key strength is in browser manipulation through the use of its dynamic configuration.

T1185Browser Session HijackingEvidence1

The token-grabber attack in peer-to-peer ZeuS... The victim would see a normal, or almost normal, login page of their bank... During the victim being on hold, the browser would continuously poll the backend to check if new questions were available to ask the victim.

T1213Data from Information RepositoriesEvidence1

GameOver Zeus botnet, which allows cybercrooks to steal banking credentials.

Command and Control

8 techniques
T1071Application Layer ProtocolEvidence4

Individual infected computers, or "bots," are controlled remotely through a decentralized command and control ("C&C") system in which (a) ordinary infected computers, or "peers," remain in contact with each other; (b) specially selected peers called "proxy nodes" transmit commands and other information from the Defendants to the peers; and (c) a Domain Generation Algorithm ("DGA") is used to generate a large number of Internet domain names with which the infected computers communicate at least once a week.

T1090ProxyEvidence1

It uses a tiered, decentralized system of intermediary proxies and strong encryption to hide the location of servers that the botnet masters use to control the crime machine.

T1090.003Multi-hop ProxyEvidence1

Apart from the peer-to-peer network, which was only the first layer, there were additional layers of proxies, which protected the real IP addresses of the backends from becoming known. Even the users of the malware would log in to the individual backends via a proxy

T1095Non-Application Layer ProtocolEvidence4

It will be interesting to hear how the authorities and security researchers involved in this effort managed to gain control over the Gameover botnet, which uses an advanced peer-to-peer (P2P) mechanism to control and update the bot-infected systems.

T1105Ingress Tool TransferEvidence4

GOZ includes code that permits the defendants to install additional malicious software onto computers infected with GOZ. The defendants and their co-conspirators have used this capability to install Cryptolocker onto numerous computers within the GOZ botnet.

T1219Remote Access ToolsEvidence1

bot_bc_add vnc <ip> <port> ... Most of these commands are used... to... connect to the victim’s desktop... One specific plugin that was seen, was a VNC component before the plugin VNC was actually built into the malware itself.

T1568.002Domain Generation AlgorithmsEvidence2

a Domain Generation Algorithm ("DGA") is used to generate a large number of Internet domain names with which the infected computers communicate at least once a week.

T1573Encrypted ChannelEvidence1

It uses a tiered, decentralized system of intermediary proxies and strong encryption to hide the location of servers that the botnet masters use to control the crime machine.

Exfiltration

1 technique
T1041Exfiltration Over C2 ChannelEvidence1

The peers are used to propagate binary updates, to distribute configuration files, and to send stolen data to the controllers.

Impact

2 techniques
T1486Data Encrypted for ImpactEvidence1

One of the most popular uses of Gameover has been as a platform for seeding infected systems with CryptoLocker, a nasty strain of malware that locks your most precious files with strong encryption until you pay a ransom demand.

T1498Network Denial of ServiceEvidence4

Gameover Zeus, which used the collective, global power of the PCs infected with Gameover Zeus to launch crippling distributed denial-of-service (DDoS) attacks against victims and their banks shortly after they were robbed

INDICATORS OF COMPROMISE

IOCs tracked for this family

27 indicators attributed across vendor reports, sandbox runs, and researcher write-ups. Full values are available in Mallory.

View more in app
Network
15 tracked

IPs, domains, and DNS infrastructure linked to this family.

Hashes
12 tracked

File hashes (MD5, SHA-1, SHA-256) from samples and reports.

TypeValueLatest sighting
domain●●●●●●●●●●●●View more in app
hash.sha1●●●●●●●●●●●●View more in app
hash.sha1●●●●●●●●●●●●View more in app
hash.sha1●●●●●●●●●●●●View more in app
ip.v4●●●●●●●●●●●●View more in app
ip.v4●●●●●●●●●●●●View more in app
What this page doesn’t show

The version that knows your environment.

This page is what’s public. Mallory adds the parts that aren’t: which of your assets match these IOCs, which detections are missing, which campaigns to expect next, and what to do in the next 30 minutes.
IOC matching27

Match every observed IP, domain, and hash against your live telemetry.

Threat actor attribution3

Named campaigns wielding this family, with evidence pinned to each claim.

Exploited vulnerabilities

CVEs this family uses for access and lateral movement.

Detection signatures

YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.

MITRE ATT&CK mapping30

Every documented technique, ranked by evidence weight.

Researcher chatter

Reddit, Mastodon, and CTI community discussion around this family.