A critical bug in Microsoft 365 Copilot, tracked as CW1226324, allowed the AI assistant to access and summarize confidential emails in Out...
A cybercrime network known as Scattered LAPSUS$ Hunters, or SLH, is offering financial rewards ranging from $500 to $1,000 per call to recruit women for voice phishing operations targeting corporate IT help desks.
The development was detailed in a threat intelligence brief published by Dataminr. According to the firm, recruits are provided with prepared scripts and paid upfront for participating in impersonation calls designed to trick help desk staff into granting account access. Analysts assess that specifically seeking female callers may be an intentional tactic to improve credibility and increase the likelihood of successful password or multi-factor authentication resets.
SLH is described as a high-profile cybercrime alliance associated with actors tied to LAPSUS$, Scattered Spider, and ShinyHunters. The group has previously demonstrated the ability to bypass multi-factor authentication using methods such as MFA prompt flooding and SIM swapping.
A core component of its intrusion strategy involves directly contacting help desks or call centers while posing as legitimate employees. Attackers attempt to persuade support staff to reset credentials or deploy remote monitoring and management software that enables persistent remote access. Once inside a network, Scattered Spider operators have been observed moving laterally into virtualized infrastructure, elevating privileges, and extracting sensitive enterprise information. In some incidents, the intrusion progressed to ransomware deployment.
To blend into legitimate traffic and evade detection, the actors routinely leverage trusted infrastructure and residential proxy services, including Luminati and OxyLabs. They have also used tunneling tools such as Ngrok, Teleport, and Pinggy, along with file-sharing platforms like file.io, gofile.io, mega.nz, and transfer.sh to transfer stolen data.
Earlier this month, Palo Alto Networks Unit 42, which tracks Scattered Spider under the alias Muddled Libra, described the actor as highly adept at manipulating human psychology. In one September 2025 investigation, attackers reportedly obtained privileged credentials through a help desk call, created a virtual machine, conducted Active Directory enumeration, and attempted to extract Microsoft Outlook mailbox data along with information downloaded from a Snowflake database.
Unit 42 also documented the group’s extensive targeting of Microsoft Azure environments through the Graph API to gain access to cloud resources. Tools such as ADRecon have been deployed to map directory structures and identify valuable assets.
Dataminr characterized the recruitment campaign as a calculated evolution in tactics, suggesting that the use of female voices may help bypass preconceived attacker profiles that help desk staff are trained to recognize.
Update: Shift Toward Branded Subdomain Impersonation and Mobile-Focused Phishing
In a follow-up assessment dated February 26, 2026, ReliaQuest reported observing ShinyHunters potentially transitioning to branded subdomain impersonation paired with live adversary-in-the-middle phishing and phone-guided social engineering. Observed domains followed formats resembling “organization.sso-verify.com.”
Researchers indicated that the group may be reusing previously exposed software-as-a-service records to craft convincing scenarios and identify the most effective internal targets. This method can enable rapid identity compromise and SaaS access through a single valid single sign-on session or help desk reset, without deploying custom malware.
ReliaQuest assessed that moving away from newly registered lookalike domains could help evade traditional domain-age detection controls. Simultaneously, mobile-oriented phishing lures may reduce visibility within enterprise network monitoring systems. The firm also noted signs of outsourced criminal labor to scale phone, email, and SMS outreach.
While the impersonation style resembles earlier Scattered Spider techniques, ReliaQuest attributed the recent subdomain activity primarily to ShinyHunters based on victim targeting patterns and operational behavior. The company stated it has no independently verifiable evidence confirming that the broader SLH collective is responsible for the subdomain campaign, though partial collaboration among groups remains possible. It also observed Telegram discussions indicating that the actors sometimes “unite” for specific social engineering operations, though the structure and scope of such collaboration remain unclear.
Security experts increasingly warn that help desks represent a critical weak point in modern enterprise defense. As organizations strengthen technical controls such as MFA and endpoint detection, attackers are redirecting efforts toward human intermediaries capable of overriding safeguards. Industry reporting throughout 2024 and 2025 has shown a consistent rise in vishing-led intrusions tied to cloud identity compromise.
Defensive recommendations include implementing stricter identity verification workflows, eliminating SMS-based authentication where possible, enforcing conditional access policies, and conducting post-call audits for new administrative accounts or privilege changes. Continuous monitoring of cloud logs and abnormal single sign-on activity is also considered essential.
The recruitment-driven expansion of scripted vishing operations signals an ongoing professionalization of social engineering. Rather than relying solely on technical exploits, threat actors are scaling psychologically informed tactics to accelerate high-volume, low-cost account compromise across enterprise environments.
Two significant data leaks connected to two AI-related apps have been discovered by cybersecurity researchers, exposing the private information and media files of millions of users worldwide.
The security researchers cautioned that more than a billion records might be exposed in two different studies published by Cybernews, which were initially reported by Forbes. An AI-powered Know Your Customer (KYC) technology utilized by digital identity verification company IDMerit has been blamed for the initial leak. The business offers real-time verification tools to the fintech and financial services industries as part of its AI-powered digital identity verification solutions.
When the researchers discovered the unprotected instance on November 11, 2025, they informed the company right away, and they quickly secured the database. The cybersecurity researchers said, "Automated crawlers set up by threat actors constantly prowl the web for exposed instances, downloading them almost instantly once they appear, even though there is currently no evidence of malicious misuse."
One billion private documents belonging to people in 26 different nations were compromised. With almost 203 million exposed data, the United States was the most impacted, followed by Mexico (124 million) and the Philippines (72 million). Full names, residences, postcodes, dates of birth, national IDs, phone numbers, genders, email addresses, and telecom information were among the "core personal identifiers used for your financial and digital life" that were made public.
According to researchers, account takeovers, targeted phishing, credit fraud, SIM swaps, and long-term privacy losses are some of the downstream hazards associated with this data leak. The Android software "Video AI Art Generator & Maker," which has received over 500,000 downloads on Google Play and has received over 11,000 reviews with a rating of 4.3 stars, is connected to the second leak. Due to a Google Cloud Storage bucket that was improperly configured, allowing anyone to access stored files without authentication, the app was discovered to be leaking user data. According to researchers, the app exposed millions of media assets created by users utilizing AI, as well as more than 1.5 million user photos and 385,000 videos.
The app was created by Codeway Dijital Hizmetler Anonim Sirketi, a company registered in Turkey. Previously, the company's Chat & Ask AI app leaked around 300 million messages associated with over 25 million users.