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I fy
AI Cloud Cyber Crime Data espionage I fy

Infy Hackers Strike Again With New C2 Servers After Iran's Internet Shutdown Ends


Infy group's new attack tactic 

An Iranian hacking group known as Infy (aka Prince of Persia) has advanced its attack tactics to hide its operations. The group also made a new C2 infrastructure while there was a wave of internet shutdown imposed earlier this year. The gang stopped configuring its C2 servers on January 8 when experts started monitoring Infy. 

In reaction to previous protests, Iranian authorities implemented a nationwide internet shutdown on this day, which probably indicates that even government-affiliated cyber units did not have the internet. 

About the campaign 

The new activity was spotted on 26 January 2026 while the gang was setting up its new C2 servers, one day prior to the Iranian government’s internet restrictions. This suggests that the threat actor may be state-sponsored and supported by Iran. 

Infy is one of the many state-sponsored hacking gangs working out of Iran infamous for sabotage, spying, and influence campaigns coordinated with Tehran’s strategic goals. However, it also has a reputation for being the oldest and less famous gangs staying under the radar and not getting caught, working secretly since 2004 via “laser-focused” campaigns aimed at people for espionage.

The use of modified versions of Foudre and Tonnerre, the latter of which used a Telegram bot probably for data collection and command issuance, were among the new tradecraft linked to the threat actor that SafeBreach revealed in a report released in December 2025. Tornado is the codename for the most recent version of Tonnerre (version 50).

The report also revealed that threat actors replaced the C2 infrastructure for all variants of Tonnerre and Foudre and also released Tornado variant 51 that employs both Telegram and HTTP for C2.

It generates C2 domain names using two distinct techniques: a new DGA algorithm initially, followed by fixed names utilizing blockchain data de-obfuscation. We believe that this novel method offers more flexibility in C2 domain name registration without requiring an upgrade to the Tornado version.

Experts believe that Infy also abused a 1-day security bug in WinRAR to extract the Tornado payload on an infected host to increase the effectiveness of its attacks. The RAR archives were sent to the Virus Total platform from India and Germany in December 2025. This means the two countries may have been victims. 



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Ransomware
AI Black Basta Black Basta Ransomware Cloud Cyber Crime Data Ransomware

Federal Agencies Worldwide Hunt for Black Basta Ransomware Leader


International operation to catch Ransomware leader 

International law enforcement agencies have increased their search for individuals linked to the Black Basta ransomware campaign. Agencies confirmed that the suspected leader of the Russia-based Ransomware-as-a-service (RaaS) group has been put in the EU’s and Interpol’s Most Wanted list and Red Notice respectively. German and Ukrainian officials have found two more suspects working from Ukraine. 

As per the notice, German Federal Criminal Police (BKA) and Ukrainian National Police collaborated to find members of a global hacking group linked with Russia. 

About the operation 

The agencies found two Ukrainians who had specific roles in the criminal structure of Black Basta Ransomware. Officials named the gang’s alleged organizer as Oleg Evgenievich Nefedov from Russia. He is wanted internationally. German law enforcement agencies are after him because of “extortion in an especially serious case, formation and leadership of a criminal organization, and other criminal offenses.”

According to German prosecutors, Nefedov was the ringleader and primary decision-maker of the group that created and oversaw the Black Basta ransomware. under several aliases, such as tramp, tr, AA, Kurva, Washingt0n, and S.Jimmi. He is thought to have created and established the malware known as Black Basta. 

The Ukrainian National Police described how the German BKA collaborated with domestic cyber police officers and investigators from the Main Investigative Department, guided by the Office of the Prosecutor General's Cyber Department, to interfere with the group's operations.

The suspects

Two individuals operating in Ukraine were found to be carrying out technical tasks necessary for ransomware attacks as part of the international investigation. Investigators claim that these people were experts at creating ransomware campaigns and breaking into secured systems. They used specialized software to extract passwords from business computer systems, operating as so-called "hash crackers." 

Following the acquisition of employee credentials, the suspects allegedly increased their control over corporate environments, raised the privileges of hacked accounts, and gained unauthorized access to internal company networks.

Authorities claimed that after gaining access, malware intended to encrypt files was installed, sensitive data was stolen, and vital systems were compromised. The suspects' homes in the Ivano-Frankivsk and Lviv regions were searched with permission from the court. Digital storage devices and cryptocurrency assets were among the evidence of illicit activity that police confiscated during these operations.

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Technology
AI Apple Cloud Data Location Technology

Apple's New Feature Will Help Users Restrict Location Data


Apple has introduced a new privacy feature that allows users to restrict the accuracy of location data shared with cellular networks on a few iPad models and iPhone. 

About the feature

The “Limit Precise Location” feature will start after updating to iOS26.3 or later. It restricts the information that mobile carriers use to decide locations through cell tower connections. Once turned on, cellular networks can only detect the device’s location, like neighbourhood instead of accurate street address. 

According to Apple, “The precise location setting doesn't impact the precision of the location data that is shared with emergency responders during an emergency call.” “This setting affects only the location data available to cellular networks. It doesn't impact the location data that you share with apps through Location Services. For example, it has no impact on sharing your location with friends and family with Find My.”

Users can turn on the feature by opening “Settings,” selecting “Cellular,” “Cellular Data Options,” and clicking the “Limit Precise Location” setting. After turning on limited precise location, the device may trigger a device restart to complete activation. 

The privacy enhancement feature works only on iPhone Air, iPad Pro (M5) Wi-Fi + Cellular variants running on iOS 26.3 or later. 

Where will it work?

The availability of this feature will depend on carrier support. The mobile networks compatible are:

EE and BT in the UK

Boost Mobile in the UK

Telecom in Germany 

AIS and True in Thailand 

Apple hasn't shared the reason for introducing this feature yet.

Compatibility of networks with the new feature 

Apple's new privacy feature, which is currently only supported by a small number of networks, is a significant step towards ensuring that carriers can only collect limited data on their customers' movements and habits because cellular networks can easily track device locations via tower connections for network operations.

“Cellular networks can determine your location based on which cell towers your device connects to. The limit precise location setting enhances your location privacy by reducing the precision of location data available to cellular networks,”

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malware
AI Cloud Data Google Ads Internet malware

n8n Supply Chain Attack Exploits Community Nodes In Google Ads Integration to Steal Tokens


Hackers were found uploading a set of eight packages on the npm registry that pretended as integrations attacking the n8n workflow automation platform to steal developers’ OAuth credentials. 

About the exploit 

The package is called “n8n-nodes-hfgjf-irtuinvcm-lasdqewriit”, it copies Google Ads integration and asks users to connect their ad account in a fake form and steal OAuth credentials from servers under the threat actors’ control. 

Endor Labs released a report on the incident. "The attack represents a new escalation in supply chain threats,” it said. Adding that “unlike traditional npm malware, which often targets developer credentials, this campaign exploited workflow automation platforms that act as centralized credential vaults – holding OAuth tokens, API keys, and sensitive credentials for dozens of integrated services like Google Ads, Stripe, and Salesforce in a single location," according to the report. 

Attack tactic 

Experts are not sure if the packages share similar malicious functions. But Reversing labs Spectra Assure analysed a few packages and found no security issues. In one package called “n8n-nodes-zl-vietts,” it found a malicious component with malware history. 

The campaign might still be running as another updated version of the package “n8n-nodes-gg-udhasudsh-hgjkhg-official” was posted to npm recently.

Once installed as a community node, the malicious package works as a typical n8n integration, showing configuration screens. Once the workflow is started, it launches a code to decode the stored tokens via n8n’s master key and send the stolen data to a remote server. 

This is the first time a supply chain attack has specially targeted the n8n ecosystem, with hackers exploiting the trust in community integrations. 

New risks in ad integration 

The report exposed the security gaps due to untrusted workflows integration, which increases the attack surface. Experts have advised developers to audit packages before installing them, check package metadata for any malicious component, and use genuine n8n integrations. 

The findings highlight the security issues that come with integrating untrusted workflows, which can expand the attack surface. Developers are recommended to audit packages before installing them, scrutinize package metadata for any anomalies, and use official n8n integrations.

According to researchers Kiran Raj and Henrik Plate, "Community nodes run with the same level of access as n8n itself. They can read environment variables, access the file system, make outbound network requests, and, most critically, receive decrypted API keys and OAuth tokens during workflow execution.”

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Technology
Agentforce AI Cloud GenAI LLMs Salesforce Technology

Salesforce Pulls Back from AI LLMs Citing Reliability Issues


Salesforce, a famous enterprise software company, is withdrawing from its heavy dependence on large language models (LLMs) after facing reliability issues that the executive didn't like. The company believes that trust in AI LLMs has declined in the past year, according to The Information. 

Parulekar, senior VP of product marketing said, “All of us were more confident about large language models a year ago.” This means the company has shifted away from GenAI towards more “deterministic” automation in its flagship product Agentforce.

In its official statement, the company said, “While LLMs are amazing, they can’t run your business by themselves. Companies need to connect AI to accurate data, business logic, and governance to turn the raw intelligence that LLMs provide into trusted, predictable outcomes.”

Salesforce cut down its staff from 9,000 to 5,000 employees due to AI agent deployment. The company emphasizes that Agentforce can help "eliminate the inherent randomness of large models.” 

Failing models, missing surveys

Salesforce experienced various technical issues with LLMs during real-world applications. According to CTO Muralidhar Krishnaprasad, when given more than eight prompts, the LLMs started missing commands. This was a serious flaw for precision-dependent tasks. 

Home security company Vivint used Agentforce for handling its customer support for 2.5 million customers and faced reliability issues. Even after giving clear instructions to send satisfaction surveys after each customer conversation, Agentforce sometimes failed to send surveys for unknown reasons. 

Another challenge was the AI drift, according to executive Phil Mui. This happens when users ask irrelevant questions causing AI agents to lose focus on their main goals. 

AI expectations vs reality hit Salesforce 

The withdrawal from LLMs shows an ironic twist for CEO Marc Benioff, who often advocates for AI transformation. In his conversation with Business Insider, Benioff talked about drafting the company's annually strategic document, prioritizing data foundations, not AI models due to “hallucinations” issues. He also suggests rebranding the company as Agentforce. 

Although Agentforce is expected to earn over $500 million in sales annually, the company's stock has dropped about 34% from its peak in December 2024. Thousands of businesses that presently rely on this technology may be impacted by Salesforce's partial pullback from large models as the company attempts to bridge the gap between AI innovation and useful business application.

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Pirate of Payroll
AI Cloud Corporate Cyber Attacks Data Okta Pirate of Payroll

Okta Report: Pirates of Payrolls Attacks Plague Corporate Industry


IT helps desks be ready for an evolving threat that sounds like a Hollywood movie title. In December 2025, Okta Threat Intelligent published a report that explained how hackers can gain unauthorized access to payroll software. These threats are infamous as payroll pirate attacks. 

Pirates of the payroll

These attacks start with threat actors calling an organization’s help desk, pretending to be a user and requesting a password reset. 

“Typically, what the adversary will do is then come back to the help desk, probably to someone else on the phone, and say, ‘Well, I have my password, but I need my MFA factor reset,’” according to VP of Okta Threat Intelligence Brett Winterford. “And then they enroll their own MFA factor, and from there, gain access to those payroll applications for the purposes of committing fraud.”

Attack tactic 

The threat actors are working at a massive scale and leveraging various services and devices to assist their malicious activities. According to Okta report, cyber thieves employed social engineering, calling help desk personnel on the phone and attempting to trick them into resetting the password for a user account. These attacks have impacted multiple industries,

“They’re certainly some kind of cybercrime organization or fraud organization that is doing this at scale,” Winterford said. Okta believes the hackers gang is based out of West Africa. 

Recently, the US industry has been plagued with payroll pirates in the education sector. The latest Okta research mentions that these schemes are now happening across different industries like retail sector and manufacturing. “It’s not often you’ll see a huge number of targets in two distinct industries. I can’t tell you why, but education [and] manufacturing were massively targeted,” Winterford said. 

How to mitigate pirates of payroll attacks?

Okta advises companies to establish a standard process to check the real identity of users who contact the help desk for aid. Winterford advised businesses that depend on outsourced IT help should limit their help desks’ ability to reset user passwords without robust measures. “In some organizations, they’re relying on nothing but passwords to get access to payroll systems, which is madness,” he said.



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Technology
AI Cloud Data Google India location tracking Technology

Google Launches Emergency Location Services in India for Android Devices


Google starts emergency location service in India

Google recently announced the launch of its Emergency Location Service (ELS) in India for compatible Android smartphones. It means that users who are in an emergency can call or contact emergency service providers like police, firefighters, and healthcare professionals. ELS can share the user's accurate location immediately. 

Uttar Pradesh (UP) in India has become the first state to operationalise ELS for Android devices. Earlier, ELS was rolled out to devices having Android 6 or newer versions. For integration, however, ELS will require state authorities to connect it with their services for activation. 

More about ELS

According to Google, the ELS function on Android handsets has been activated in India. The built-in emergency service will enable Android users to communicate their location by call or SMS in order to receive assistance from emergency service providers, such as firefighters, police, and medical personnel. 

ELS on Android collects information from the device's GPS, Wi-Fi, and cellular networks in order to pinpoint the user's exact location, with an accuracy of up to 50 meters.

Implementation details

However, local wireless and emergency infrastructure operators must enable support for the ELS capability. The first state in India to "fully" operationalize the service for Android devices is Uttar Pradesh. 

ELS assistance has been integrated with the emergency number 112 by the state police in partnership with Pert Telecom Solutions. It is a free service that solely monitors a user's position when an Android phone dials 112. 

Google added that all suitable handsets running Android 6.0 and later versions now have access to the ELS functionality. 

Even if a call is dropped within seconds of being answered, the business claims that ELS in Android has enabled over 20 million calls and SMS messages to date. ELS is supported by Android Fused Location Provider- Google's machine learning tool.

Promising safety?

According to Google, the feature is only available to emergency service providers and it will never collect or share accurate location data for itself. The ELS data will be sent directly only to the concerned authority.

Recently, Google also launched the Emergency Live Video feature for Android devices. It lets users share their camera feed during an emergency via a call or SMS with the responder. But the emergency service provider has to get user approval for the access. The feature is shown on screen immediately when the responder requests a video from their side. User can accept the request and provide a visual feed or reject the request.

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Technology
AI ChatGPT Cloud Data OpenAI Technology

High Severity Flaw In Open WebUI Can Leak User Conversations and Data


A high-severity security bug impacting Open WebUI has been found by experts. It may expose users to account takeover (ATO) and, in some incidents, cause full server compromise. 

Talking about WebUI, Cato researchers said, “When a platform of this size becomes vulnerable, the impact isn’t just theoretical. It affects production environments managing research data, internal codebases, and regulated information.”

The flaw is tracked as CVE-2025-64496 and found by Cato Networks experts. The vulnerability affects Open WebUI versions 0.6.34 and older if the Director Connection feature is allowed. The flaw has a severity rating of 7.3 out of 10. 

The vulnerability exists inside Direct Connections, which allows users to connect Open WebUI to external OpenAI-supported model servers. While built for supporting flexibility and self-hosted AI workflows, the feature can be exploited if a user is tricked into linking with a malicious server pretending to be a genuine AI endpoint. 

Fundamentally, the vulnerability comes from a trust relapse between unsafe model servers and the user's browser session. A malicious server can send a tailored server-sent events message that prompts the deployment of JavaScript code in the browser. This lets a threat actor steal authentication tokens stored in local storage. When the hacker gets these tokens, it gives them full access to the user's Open WebUI account. Chats, API keys, uploaded documents, and other important data is exposed. 

Depending on user privileges, the consequences can be different.

Consequences?

  • Hackers can steal JSON web tokens and hijack sessions. 
  • Full account hack, this includes access to chat logs and uploaded documents.
  • Leak of important data and credentials shared in conversations. 
  • If the user has enabled workspace.tools permission, it can lead to remote code execution (RCE). 

Open WebUI maintainers were informed about the issue in October 2025, and publicly disclosed in November 2025, after patch validation and CVE assignment. Open WebUI variants 0.6.35 and later stop the compromised execute events, patching the user-facing threat.

Open WebUI’s security patch will work for v0.6.35 or “newer versions, which closes the user-facing Direct Connections vulnerability. However, organizations still need to strengthen authentication, sandbox extensibility and restrict access to specific resources,” according to Cato Networks researchers.





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