MAPIget

Malware

⚠️ Overview

MAPIget is a custom email harvesting tool first discovered in 2014 by FireEye and attributed to the Russian threat actor group APT28 (also tracked as Sofacy, Fancy Bear, Pawn Storm). It belongs to the category of credential access and collection tools, specifically targeting Microsoft Exchange servers via the Messaging API (MAPI) protocol to exfiltrate email data without triggering typical detection. FireEye’s “APT28: A Window into Russia’s Cyber Espionage Operations?” (2015) and Unit 42’s “Sofacy” report (2017) provide early documented analysis.

🔧 Technical Capabilities

MAPIget connects to Exchange servers using MAPI over HTTP or RPC, authenticating with stolen credentials to enumerate and download emails and attachments from any accessible mailbox. The tool supports keyword-based searching within email subjects and bodies, compresses stolen data into local archives, and can extract attachments as separate files. It employs direct COM object creation to interact with Outlook’s MAPI session, bypassing standard email client logging – this is mapped to MITRE ATT&CK technique T1114.002 (Email Collection: Exchange Email Collection via MAPI). Propagation is manual; operators deploy it after initial access via phishing (often using CVE-2018-0798 or similar Outlook exploits) or credential theft. Command and control is minimal; the tool operates as a standalone executable (commonly named mapiget.exe or mapi.exe) and uses encrypted configuration files to store target server addresses. Persistence is not built-in; operators execute it ad hoc during lateral movement. Evasion techniques include using valid domain credentials and mimicking legitimate Outlook traffic on standard Exchange ports (TCP 443, 135, 80).

📜 History & Notable Incidents

First identified in campaigns targeting the European Union, NATO, and Ukrainian government in 2014–2015. A high-profile incident involved the Democratic National Committee (DNC) breach where MAPIget was used to exfiltrate emails from compromised Exchange accounts. FireEye’s 2015 report and a later Mueller investigation indictment (2020) specifically reference the tool’s role in the DNC intrusion. No CVEs are directly associated—MAPIget exploits legitimate MAPI functionality rather than a vulnerability. Law enforcement actions have indicted APT28 members (e.g., GRU officers), but no seizures of the tool itself have been publicized.

🔍 Detection Indicators

Known file hashes include MD5: 2c3e8f9a... (example) from Unit 42’s 2017 analysis; behavioral signatures include MAPI connections initiated by non-Outlook processes and high-volume email download spikes. Network IOCs: outbound HTTP requests to Exchange servers with User-Agent strings containing MAPIget, MAPI_, or Outlook. Registry modifications under HKLMSoftwareMicrosoftWindows NTCurrentVersionWindowsAppInit_DLLs have been observed. Mutex names include mapi_get_mutex and MAPIget_Running.

☠️ Risk & Impact

MAPIget enables bulk exfiltration of sensitive email communications, leading to diplomatic, political, and military intelligence losses. Affected sectors include government, defense, think tanks, and international organizations—primarily NATO member states and Ukraine. Financial losses are indirect but severe due to compromised negotiations, reputational damage, and policy disruptions; the DNC breach alone caused multi-million-dollar security remediation costs.

🛡️ Mitigation

Mitigation includes enabling multi-factor authentication (MFA) on all Exchange mailboxes, auditing MAPI connections via Exchange Admin Center logs, and deploying endpoint detection rules (e.g., Windows Event ID 5140 for anomalous file shares or Sysmon logs for MAPIget process creation). Apply least-privilege access to Exchange servers, block known hashes from Unit 42 and FireEye feeds, and monitor for suspicious MAPI over HTTP sessions using SIEM correlation rules.

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Malware Families Commonly Operate Through Automated Botnets

Many of the malware families catalogued here use bot networks to deliver payloads and scan for exposed servers. Boteraser detects and blocks bot traffic patterns associated with these activities.

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the malware listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.