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Submission: On November 15 via api from BY — Scanned from DE
Submission: On November 15 via api from BY — Scanned from DE
Form analysis
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Text Content
___ This site uses JavaScript to provide a number of functions, to use this site please enable JavaScript in your browser. OpenSearch ThreatLabz CXO REvolutionaries Careers Partners Support ShowContact Us Get in touch 1-408-533-0288 Chat with us ShowSign In Zscaler Cloud Portal | Admin Zscaler Cloud Portal One | Admin Zscaler Cloud Portal Two | Admin Zscaler Cloud Portal Three | Admin Zscaler Cloud Portal Beta | Admin admin.zscloud.net Zscaler Private Access Cloud Portal One | Admin Zscaler Private Access Cloud Portal Two | Admin Home Platform Products Solutions Resources Company Request a demo Secure the Workforce Provide users with seamless, secure, reliable access to applications and data. Secure the Cloud Build and run secure cloud apps, enable zero trust cloud connectivity, and protect workloads from data center to cloud. Secure IoT/OT Provide zero trust connectivity for IoT and OT devices and secure remote access to OT systems. Secure B2B Provide zero trust site-to-site connectivity and reliable access to B2B apps for partners. Why Zscaler Leadership in AI/ML Zscaler SASE Zscaler SSE Analyst Recognition Customer Stories Partner Ecosystem Reduce Your Carbon Footprint GARTNER REPORT Zscaler: A Leader in the 2024 Gartner® Magic Quadrant™ for Security Service Edge (SSE) Get the report Cyberthreat Protection Secure Internet Access (ZIA) Secure Private Access (ZPA) Zero Trust Firewall Sandbox Browser Isolation Data Protection Web and Email DLP Multi-Mode CASB Endpoint DLP Unified SaaS Security Gen AI Security DSPM BYOD Security Zero Trust Networking Zero Trust SD-WAN Zero Trust Device Segmentation Zero Trust Cloud Zero Trust for IoT/OT Digital Experience (ZDX) Zero Trust SASE Risk Management Risk360 Unified Vulnerability Management Breach Predictor Deception Identity Protection Managed Threat Hunting Business Insights USE CASES Replace VPN Stop Ransomware VDI Alternative Secure Your Data Optimize Digital Experiences Deploy Zero Trust SASE Deploy BYOD Securely Reduce Cyber Risk Right-Size SaaS & Office Space Footprint Accelerate M&A and Divestitures INDUSTRY & MARKET SOLUTIONS Healthcare Banking & Financial Services US Public Sector US Federal Government US State & Local Government Education Australia Government China Government PARTNERS Explore Our Partners Become a Partner Partner Portal TECHNOLOGY PARTNERS Explore Technology Partners Microsoft CrowdStrike AWS Okta Rubrik SAP USE CASES Replace VPN Stop Ransomware VDI Alternative Secure Your Data Optimize Digital Experiences Deploy Zero Trust SASE Deploy BYOD Securely Reduce Cyber Risk Right-Size SaaS & Office Space Footprint Accelerate M&A and Divestitures INDUSTRY & MARKET SOLUTIONS Healthcare Banking & Financial Services US Public Sector US Federal Government US State & Local Government Education Australia Government China Government PARTNERS Explore Our Partners Become a Partner Partner Portal TECHNOLOGY PARTNERS Explore Technology Partners Microsoft CrowdStrike AWS Okta Rubrik SAP Resource Center Resource Library Blog Customer Success Stories Webinars Zpedia Events & Trainings Upcoming Events Zenith Live Zscaler Academy Security Research & Services ThreatLabz Analytics Security Advisory Updates Zero Trust Resources Tools Security Preview Security and Risk Assessment Disclose a Vulnerability Executive Insights App Ransomware Protection ROI Calculator Community & Support Customer Success Center Zenith Community CXO REvolutionaries Zscaler Help Portal CXO REVOLUTIONARIES Amplifying the voices of real-world digital and zero trust pioneers Visit now Resource Center Resource Library Blog Customer Success Stories Webinars Zpedia Events & Trainings Upcoming Events Zenith Live Zscaler Academy Security Research & Services ThreatLabz Analytics Security Advisory Updates Zero Trust Resources Tools Security Preview Security and Risk Assessment Disclose a Vulnerability Executive Insights App Ransomware Protection ROI Calculator Community & Support Customer Success Center Zenith Community CXO REvolutionaries Zscaler Help Portal About Zscaler Discover how it began and where it’s going Partners Meet our partners and explore system integrators and technology alliances News & Announcements Stay up to date with the latest news Leadership Team Meet our management team Partner Integrations Explore our technology partner integrations Investor Relations See news, stock information, and quarterly reports Environmental, Social & Governance Learn about our ESG approach Careers Join our mission Press Center Find everything you need to cover Zscaler Compliance Understand our adherence to rigorous standards Zenith Ventures Learn about our strategic startup investments Home Request a demo Platform Products Solutions Resources Company Request a demo ThreatLabzCXO REvolutionariesCareersPartnersSupport ShowContact Us Get in touch1-408-533-0288Chat with us ShowSign In Zscaler Cloud Portal | AdminZscaler Cloud Portal One | AdminZscaler Cloud Portal Two | AdminZscaler Cloud Portal Three | AdminZscaler Cloud Portal Beta | Adminadmin.zscloud.netZscaler Private Access Cloud Portal One | AdminZscaler Private Access Cloud Portal Two | Admin Platform Secure the Workforce Provide users with seamless, secure, reliable access to applications and data. Secure the Cloud Build and run secure cloud apps, enable zero trust cloud connectivity, and protect workloads from data center to cloud. Secure IoT/OT Provide zero trust connectivity for IoT and OT devices and secure remote access to OT systems. Secure B2B Provide zero trust site-to-site connectivity and reliable access to B2B apps for partners. Why Zscaler Leadership in AI/ML Zscaler SASE Zscaler SSE Analyst Recognition Customer Stories Partner Ecosystem Reduce Your Carbon Footprint GARTNER REPORT Zscaler: A Leader in the 2024 Gartner® Magic Quadrant™ for Security Service Edge (SSE) Get the report Products Cyberthreat Protection Secure Internet Access (ZIA) Secure Private Access (ZPA) Zero Trust Firewall Sandbox Browser Isolation Data Protection Web and Email DLP Multi-Mode CASB Endpoint DLP Unified SaaS Security Gen AI Security DSPM BYOD Security Zero Trust Networking Zero Trust SD-WAN Zero Trust Device Segmentation Zero Trust Cloud Zero Trust for IoT/OT Digital Experience (ZDX) Zero Trust SASE Risk Management Risk360 Unified Vulnerability Management Breach Predictor Deception Identity Protection Managed Threat Hunting Business Insights Solutions USE CASES Replace VPN Stop Ransomware VDI Alternative Secure Your Data Optimize Digital Experiences Deploy Zero Trust SASE Deploy BYOD Securely Reduce Cyber Risk Right-Size SaaS & Office Space Footprint Accelerate M&A and Divestitures INDUSTRY & MARKET SOLUTIONS Healthcare Banking & Financial Services US Public Sector US Federal Government US State & Local Government Education Australia Government China Government PARTNERS Explore Our Partners Become a Partner Partner Portal TECHNOLOGY PARTNERS Explore Technology Partners Microsoft CrowdStrike AWS Okta Rubrik SAP USE CASES Replace VPN Stop Ransomware VDI Alternative Secure Your Data Optimize Digital Experiences Deploy Zero Trust SASE Deploy BYOD Securely Reduce Cyber Risk Right-Size SaaS & Office Space Footprint Accelerate M&A and Divestitures INDUSTRY & MARKET SOLUTIONS Healthcare Banking & Financial Services US Public Sector US Federal Government US State & Local Government Education Australia Government China Government PARTNERS Explore Our Partners Become a Partner Partner Portal TECHNOLOGY PARTNERS Explore Technology Partners Microsoft CrowdStrike AWS Okta Rubrik SAP Resources Resource Center Resource Library Blog Customer Success Stories Webinars Zpedia Events & Trainings Upcoming Events Zenith Live Zscaler Academy Security Research & Services ThreatLabz Analytics Security Advisory Updates Zero Trust Resources Tools Security Preview Security and Risk Assessment Disclose a Vulnerability Executive Insights App Ransomware Protection ROI Calculator Community & Support Customer Success Center Zenith Community CXO REvolutionaries Zscaler Help Portal CXO REVOLUTIONARIES Amplifying the voices of real-world digital and zero trust pioneers Visit now Resource Center Resource Library Blog Customer Success Stories Webinars Zpedia Events & Trainings Upcoming Events Zenith Live Zscaler Academy Security Research & Services ThreatLabz Analytics Security Advisory Updates Zero Trust Resources Tools Security Preview Security and Risk Assessment Disclose a Vulnerability Executive Insights App Ransomware Protection ROI Calculator Community & Support Customer Success Center Zenith Community CXO REvolutionaries Zscaler Help Portal Company About Zscaler Discover how it began and where it’s going Partners Meet our partners and explore system integrators and technology alliances News & Announcements Stay up to date with the latest news Leadership Team Meet our management team Partner Integrations Explore our technology partner integrations Investor Relations See news, stock information, and quarterly reports Environmental, Social & Governance Learn about our ESG approach Careers Join our mission Press Center Find everything you need to cover Zscaler Compliance Understand our adherence to rigorous standards Zenith Ventures Learn about our strategic startup investments Zscaler Blog Get the latest Zscaler blog updates in your inbox Subscribe Security Research THE (D)EVOLUTION OF PIKABOT NIKOLAOS PANTAZOPOULOS - Nikolaos Pantazopoulos February 12, 2024 - 12 min read Threatlabz Research Contents 1. Introduction 2. Key Takeaways 3. Technical Analysis 4. Conclusion 5. Indicators Of Compromise (IOCs) 6. Zscaler Coverage 7. More blogs Copy URL Copy URL INTRODUCTION Pikabot is a malware loader that originally emerged in early 2023. Over the past year, ThreatLabz has been tracking the development of Pikabot and its modus operandi. There was a significant increase in usage of Pikabot in the second half of 2023, following the FBI-led takedown of Qakbot. This was likely the result of a BlackBasta ransomware affiliate replacing Qakbot with Pikabot for initial access. However, Pikabot ceased activity shortly after Christmas 2023, with its version number being 1.1.19 at that time. In recent campaigns, which started in February 2024, Pikabot reemerged with significant changes in its code base and structure. Although it appears to be in a new development cycle and testing phase, the developers have reduced the complexity of the code by removing advanced obfuscation techniques and changing the network communications. KEY TAKEAWAYS * Pikabot is a malware loader that was first observed in early 2023 and became very active following the takedown of Qakbot in August 2023. * In December 2023, Pikabot activity ceased, possibly as a result of a new version of Qakbot that emerged. In February 2024, a new version of Pikabot was released with significant changes. * Previous versions of Pikabot used advanced string encryption techniques, which have been replaced with simpler algorithms. * Pikabot now stores all configuration elements in a single memory block, similar to Qakbot. In prior versions, Pikabot decrypted necessary configuration elements only when required. * Pikabot continues to use HTTP for command-and-control, but its network protocol has changed, including the network command IDs and the encryption algorithms. TECHNICAL ANALYSIS As covered in our previous technical analysis of Pikabot, the malware consists of two components: a loader and a core module. The core module is responsible for executing commands and injecting payloads from a command-and-control server. The malware uses a code injector to decrypt and inject the core module. It employs various anti-analysis techniques and string obfuscation. Pikabot uses similar distribution methods, campaigns, and behaviors as Qakbot. The malware acts as a backdoor, allowing the attacker to control the infected system and distribute other malicious payloads such as Cobalt Strike. In the following sections, we will describe the latest Pikabot variant, including its capabilities and notable changes compared to previous versions. The analysis was performed on Pikabot binaries with version 1.8.32. ANTI-ANALYSIS TECHNIQUES As with previous versions of Pikabot, this variant employs a series of different anti-analysis techniques to make the analysis more time-consuming. It should be noted that none of the methods below presents any significant advanced capabilities. Furthermore, Pikabot used a series of more advanced detection features in its loader component in previous versions of the malware. STRINGS ENCRYPTION The most notable change is the string obfuscation. In previous versions of Pikabot, each string was obfuscated by combining the RC4 algorithm with AES-CBC. This method was highly effective in preventing analysis, particularly when it came to automated configuration extraction. To successfully analyze Pikabot, an analyst would need to detect not only the encrypted string but also its unique RC4 key. Additionally, they would need to extract the AES key and initialization vector, which are unique to each Pikabot payload.It should be noted that the approach the Pikabot malware developers followed is similar to the ADVobfuscator. In the latest version of Pikabot, the majority of the strings are either constructed by retrieving each character and pushing it onto the stack (Figure 1) or, in some rare cases, a few strings are still encrypted using the RC4 algorithm only. Figure 1. String stack construction JUNK INSTRUCTIONS This anti-analysis technique was also implemented in previous versions of Pikabot. Pikabot inserts junk code between valid instructions. The junk code is either inlined in the function or a call is made to a function, which contains the junk code (Figure 2). Figure 2. Junk code ANTI-DEBUG METHODS Pikabot uses two methods to detect a debugging session. They are: * Reading the BeingDebugged flag from the PEB (Process Environment Block). * Calling the Microsoft Windows API function CheckRemoteDebuggerPresent. Pikabot constantly performs the debugging checks above in certain parts of its code. For example, when it (en/de)codes network data or when it makes a request to receive a network command. ANTI-SANDBOX EVASION In addition to the anti-debugging checks above, Pikabot uses the following methods to evade security products and sandboxes: * Pikabot utilizes native Windows API calls. * Pikabot delays code execution at different stages of its code. The timer is randomly generated each time. * Pikabot dynamically resolves all required Windows API functions via API hashing. A Python representation of the algorithm is available below. api_name = b"" checksum = 0x113B for c in api_name: if c > 0x60: c -= 0x20 checksum = (c + (0x21 * checksum)) & 0xffffffff print(hex(checksum)) LANGUAGE DETECTION Identical to previous versions, Pikabot stops execution if the operating system's language is any of the following: * Russian (Russia) * Ukrainian (Ukraine) This is likely an indication that the threat actors behind Pikabot are Russian-speaking and may reside in Ukraine and/or Russia. The language check reduces the chance of law enforcement action and potential criminal prosecution in those regions. BOT INITIALIZATION PHASE Unlike previous versions, this version of Pikabot stores all settings and information in a single structure at a global address (similar to Qakbot). The analyzed structure is shown below. For brevity, we redacted non-important items of the structure (such as Windows API names). struct bot_structure { void *host_info; WINHTTPAPI winhttp_session_handle; bool bot_error_init_flag; FARPROC LdrLoadDll; FARPROC LdrGetProcedureAddress; FARPROC RtlAllocateHeap; FARPROC RtlReAllocateHeap; FARPROC RtlFreeHeap; FARPROC RtlDecompressBuffer; FARPROC RtlGetVersion; FARPROC RtlRandomEx; ---redacted— wchar_t* bot_id; bool registered_flag; int process_pid; int process_thread_id; int* unknown_unused_1; unsigned short os_arch; unsigned short dlls_apis_loaded_flag; int unknown_unused_2; unsigned char* host_rc4_key; int number_of_swap_rounds; int beacon_time_ms; int delay_time_ms; // Used only during the initialization phase of Pikabot. int delay_seed_mul; wchar_t* bot_version; wchar_t* campaign_tag; wchar_t* unknown_registry_key_name; cncs_info* active_cnc_info; cncs_info* cncs_list; int num_of_cncs; int unknown_unused_3; int max_cnc_attempts; wchar_t* user_agent; void* uris_array; void* request_headers_array; TEB* thread_environment_block; }; struct cncs_info { wchar_t* cnc; int cnc_port; int http_connection_settings; // If set to 1 then server’s certificate validation is ignored and sets the flags WINHTTP_FLAG_SECURE | WINHTTP_FLAG_BYPASS_PROXY_CACHE int connection_attempts; bool is_cnc_unavailable; cncs_info* next_cnc_ptr; }; BOT CONFIGURATION The latest version of Pikabot stores its entire configuration in plaintext in one address. This is a significant drawback since in previous versions, Pikabot decrypted each required element at runtime and only when required. In addition, many of the configuration elements (e.g. command-and-control URIs) were randomized. ANALYST NOTE: Despite their randomization, all configuration elements were valid on the server-side. If a bot sent incorrect information, then it would get rejected/banned by the command-and-control server. The configuration structure is the following: struct configuration { int number_of_swap_rounds_number_of_bytes_to_read_from_end; // During the bot initialization process, this member represents the number of bytes to read from the end of the configuration block. size_t len_remaining_structure; // Size of the remaining structure's data minus the last element wchar_t* bot_minor_version; // E.g. 32-beta. In some samples, this member contains both the major and minor versions of the bot. size_t len_campaign_name; wchar_t* campaign_name; size_t len_unknown_registry_key_name; wchar_t* unknown_registry_key_name; // Used only in the network command 0x246F. size_t len_user_agent; wchar_t* user_agent; size_t number_of_http_headers; wchar_string request_headers[number_of_http_headers]; int number_of_cnc_uris; wchar_string cnc_uris[number_of_cnc_uris]; int number_of_cncs; cnc cns[number_of_cns]; int beacon_time_ms; int delay_time_ms; int delay_seed_mul; // Multiplies this value with the calculated value of the operation - delay_seed_mul * 1000. int maximum_cnc_connection_attempts; size_t len_bot_version // major version + minor version wchar_t* major_version; // 1.8. int len_remaining_bytes_to_read; // Added to the first member and shows how many more bytes to read right after `len_remaining_structure` }; struct wchar_string { size_t length; wchar_t* wstring; }; struct cnc { size_t len_cnc; wchar_t* cnc; int cnc_port; int connection_attempts; bool http_connection_settings; }; Once Pikabot parses the plaintext configuration, it erases it by setting all bytes to zero. We assess that this is an anti-dumping method to avoid automating the extraction of the configuration. Lastly, Pikabot loads any remaining required Windows API functions and generates a bot identifier for the compromised host. The algorithm is similar to previous versions and can be reproduced with the following Python code. def checksum(input: int) -> int: return (0x10E1 * input + 0x1538) & 0xffffffff def generate_bot_id_set_1(host_info: bytes, volume_serial_number: int) -> int: for current_character in host_info.lower(): volume_serial_number *= 5 volume_serial_number += current_character bot_id_part_1 = checksum(volume_serial_number & 0xffffffff) return bot_id_part_1 def generate_bot_id_set_2(volume_serial_number: int) -> int: bot_id_part_2 = checksum(volume_serial_number) bot_id_part_2 = checksum(bot_id_part_2) return bot_id_part_2 def generate_bot_id_set_3(bot_id_part_2: int) -> int: out = [] for i in range(8): bot_id_part_2 = checksum(bot_id_part_2) out.append(bot_id_part_2 & 0xff) out = bytes(out[-4:]) return int.from_bytes(out, byteorder='little') host_info = b"username|hostname" volume_serial_number = int("",16) bot_id_part_1 = generate_bot_id_set_1(host_info, volume_serial_number) bot_id_part_2 = generate_bot_id_set_2(volume_serial_number) bot_id_part_3 = generate_bot_id_set_3(bot_id_part_2) bot_id = f"{bot_id_part_1:07X}{bot_id_part_2 & 0xffff:09X}{bot_id_part_3}" ANALYST NOTE: In some samples, Pikabot does not read the volume serial number due to a bug in their code that causes a failure when calling GetVolumeInformationW. NETWORK COMMUNICATIONS Pikabot contacts the command-and-control server to request and receive network commands. In this version, the network protocol has considerably changed. Pikabot starts by registering the compromised host to its server. First, Pikabot collects information from the compromised host, such as: * Monitor’s display settings * Windows version * Hostname/username and operating system’s memory size * Beacon and delay settings * Process information such as the process ID, parent process ID and number of threads (see the description of network command 0x985 for a comprehensive list). * Bot’s version and campaign name * Name of the domain controller Then Pikabot appends the following information to the registration packet: * 32-bytes network RC4 key (unique per host), which remains the same for the session. In previous versions, Pikabot was using AES-CBC with a random key/IV per request. * Unknown registry key name. We observed it used only in the network command with ID 0x246F. * Number of swap rounds used for encoding the data. This remains the same for the rest of the session. Next, Pikabot encrypts the data using the RC4 algorithm, encodes the encrypted output, picks a random URI from its list, and sends the data with a POST request to the command-and-control server. The encoding involves bytes swapping for N times, where N is a randomly generated number in the range 0-25. ANALYST NOTE: Despite the fact that a round number is set in the configuration (see the configuration structure), this value is ignored and Pikabot replaces it with a random value. Moreover, Pikabot has completely removed the JSON format in its network packets and inserts everything in a raw format. If the bot registration is successful, Pikabot starts an infinite loop to request and execute commands. Each incoming network command (with the exception of network command with ID 0x164) has a task ID that is placed at the start of the (decrypted) packet as a QWORD value. In Table 1 below, we list the identified network commands along with a description of their functionality. Command IDDescription0x164Requests command from command-and-control server. The packet includes the command ID, size of bot ID, and the bot ID. The server replies with the same command ID if there is no network command for the bot to execute.0x555Reports the output of the executed network command to the command-and-control server.0x1291Registers the bot. An unknown integer value (0x1687) is appended in the packet at offset 8.0x1FEDUpdates beacon time.0x1A5ATerminates/kills the bot.0x2672Not implemented0x246FWrites a file to disk and adds registry data using the value name specified in the configuration (unknown_registry_key_name).0xACBExecutes the system command and sends back the output. Includes the error code 0x1B3 if there is no output.0x36CInjects the code of a downloaded PE file. The target process information is specified in the network packet.0x792Injects the code of a downloaded shellcode. The target process information is specified in the network packet.0x359Executes system command and sends back the output. Note: Same as 0xACB but does not send the error code.0x3A6Executes system command and sends back the output. Note: Same as 0xACB but does not send the error code.0x240Executes system command and sends back the output. Note: Same as 0xACB but does not send the error code.0x985 Collects processes’ information. These are: * Executable's filename * Process ID * Boolean flag, which indicates if it is a Pikabot process. * Boolean flag, which indicates if Pikabot can access the process with all possible access rights. * Number of threads * Base priority of threads * Process architecture * Parent process ID 0x982Not implemented Table 1. Pikabot Network Commands CONCLUSION Despite its recent inactivity, Pikabot continues to pose a significant cyber threat and is in constant development. However, the developers have decided to take a different approach and decrease the complexity level of Pikabot's code by removing advanced obfuscation features. Moreover, based on our code analysis, it appears that certain features and network commands have not been implemented yet and are still a work in progress. Zscaler ThreatLabz continues to track this threat and add detections to protect our customers. INDICATORS OF COMPROMISE (IOCS) SHA256 Description 555687ca3149e23ee980a3acf578e0572da556cf34c87aecf48596834d6b496f Pikabot sample (version 1.8.32-beta) ca5fb5814ec62c8f04936740aabe2664b3c7d036203afbd8425cd67cf1f4b79d Pikabot sample (version 1.8.32-beta) IOC Description 104.129.55[.]103:2224 Command-and-Control server 178.18.246[.]136:2078 Command-and-Control server 158.220.80[.]167:2967 Command-and-Control server 104.129.55[.]104:2223 Command-and-Control server 23.226.138[.]161:5242 Command-and-Control server 37.60.242[.]85:9785 Command-and-Control server 23.226.138[.]143:2083 Command-and-Control server 37.60.242[.]86:2967 Command-and-Control server 85.239.243[.]155:5000 Command-and-Control server 158.220.80[.]157:9785 Command-and-Control server 65.20.66[.]218:5938 Command-and-Control server 95.179.191[.]137:5938 Command-and-Control server 139.84.237[.]229:2967 Command-and-Control server ZSCALER COVERAGE In addition to sandbox detections, Zscaler’s multilayered cloud security platform detects indicators related to Pikabot at various levels with the following threat names: * Win32.Trojan.PikaBot * Win32.Downloader.PikaBot Thank you for reading WAS THIS POST USEFUL? Yes, very! Not really EXPLORE MORE ZSCALER BLOGS Technical Analysis of Pikabot Read post Tracking 15 Years of Qakbot Development Read post Hibernating Qakbot: A Comprehensive Study and In-depth Campaign Analysis Read post GET THE LATEST ZSCALER BLOG UPDATES IN YOUR INBOX * Subscribe By submitting the form, you are agreeing to our privacy policy. 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