Lightning AI Studio Vulnerability Could've Allowed RCE via Hidden URL Parameter - Related to rce, parameter, hidden, voice, ai
A Day in the Life of a Prolific Voice Phishing Crew

Besieged by scammers seeking to phish user accounts over the telephone, Apple and Google frequently caution that they will never reach out unbidden to consumers this way. However, new details about the internal operations of a prolific voice phishing gang show the group routinely abuses legitimate services at Apple and Google to force a variety of outbound communications to their consumers, including emails, automated phone calls and system-level messages sent to all signed-in devices.
KrebsOnSecurity not long ago told the saga of a cryptocurrency investor named Tony who was robbed of more than $[website] million in an elaborate voice phishing attack. In Tony’s ordeal, the crooks appear to have initially contacted him via Google Assistant, an AI-based service that can engage in two-way conversations. The phishers also abused legitimate Google services to send Tony an email , and to send a Google account recovery prompt to all of his signed-in devices.
Today’s story pivots off of Tony’s heist and new details shared by a scammer to explain how these voice phishing groups are abusing a legitimate Apple telephone support line to generate “account confirmation” message prompts from Apple to their customers.
Before we get to the Apple scam in detail, we need to revisit Tony’s case. The phishing domain used to steal roughly $[website] million in cryptocurrencies from Tony was verify-trezor[.]io. This domain was featured in a writeup from February 2024 by the security firm Lookout, which found it was one of dozens being used by a prolific and audacious voice phishing group it dubbed “Crypto Chameleon.”.
Crypto Chameleon was brazenly trying to voice phish employees at the [website] Federal Communications Commission (FCC), as well as those working at the cryptocurrency exchanges Coinbase and Binance. Lookout researchers discovered multiple voice phishing groups were using a new phishing kit that closely mimicked the single sign-on pages for Okta and other authentication providers.
As we’ll see in a moment, that phishing kit is operated and rented out by a cybercriminal known as “Perm” [website] “Annie.” Perm is the current administrator of Star Fraud, one of the more consequential cybercrime communities on Telegram and one that has emerged as a foundry of innovation in voice phishing attacks.
A review of the many messages that Perm posted to Star Fraud and other Telegram channels showed they worked closely with another cybercriminal who went by the handles “Aristotle” and just “Stotle.”.
It is not clear what caused the rift, but at some point last year Stotle decided to turn on his erstwhile business partner Perm, sharing extremely detailed videos, tutorials and secrets that shed new light on how these phishing panels operate.
Stotle explained that the division of spoils from each robbery is decided in advance by all participants. Some co-conspirators will be paid a set fee for each call, while others are promised a percentage of any overall amount stolen. The person in charge of managing or renting out the phishing panel to others will generally take a percentage of each theft, which in Perm’s case is 10 percent.
When the phishing group settles on a target of interest, the scammers will create and join a new Discord channel. This allows each logged on member to share what is currently on their screen, and these screens are tiled in a series of boxes so that everyone can see all other call participant screens at once.
Each participant in the call has a specific role, including:
-The Caller: The person speaking and trying to social engineer the target.
-The Operator: The individual managing the phishing panel, silently moving the victim from page to page.
-The Drainer: The person who logs into compromised accounts to drain the victim’s funds.
-The Owner: The phishing panel owner, who will frequently listen in on and participate in scam calls.
In one video of a live voice phishing attack shared by Stotle, scammers using Perm’s panel targeted a musician in California. Throughout the video, we can see Perm monitoring the conversation and operating the phishing panel in the upper right corner of the screen.
In the first step of the attack, they peppered the target’s Apple device with notifications from Apple by attempting to reset his password. Then a “Michael Keen” called him, spoofing Apple’s phone number and saying they were with Apple’s account recovery team.
The target told Michael that someone was trying to change his password, which Michael calmly explained they would investigate. Michael mentioned he was going to send a prompt to the man’s device, and proceeded to place a call to an automated line that answered as Apple support saying, “I’d like to send a consent notification to your Apple devices. Do I have permission to do that?”.
In this segment of the video, we can see the operator of the panel is calling the real Apple customer support phone number 800-275-2273, but they are doing so by spoofing the target’s phone number (the victim’s number is redacted in the video above). That’s because calling this support number from a phone number tied to an Apple account and selecting “1” for “yes” will then send an alert from Apple that displays the following message on all associated devices:
KrebsOnSecurity asked two different security firms to test this using the caller ID spoofing service shown in Perm’s video, and sure enough calling that 800 number for Apple by spoofing my phone number as the source caused the Apple Account Confirmation to pop up on all of my signed-in Apple devices.
In essence, the voice phishers are using an automated Apple phone support line to send notifications from Apple and to trick people into thinking they’re really talking with Apple. The phishing panel video leaked by Stotle presents this technique fooled the target, who felt completely at ease that he was talking to Apple after receiving the support prompt on his iPhone.
“Okay, so this really is Apple,” the man expressed after receiving the alert from Apple. “Yeah, that’s definitely not me trying to reset my password.”.
“Not a problem, we can go ahead and take care of this today,” Michael replied. “I’ll go ahead and prompt your device with the steps to close out this ticket. Before I do that, I do highly suggest that you change your password in the settings app of your device.”.
The target expressed they weren’t sure exactly how to do that. Michael replied “no problem,” and then described how to change the account password, which the man expressed he did on his own device. At this point, the musician was still in control of his iCloud account.
“Password is changed,” the man stated. “I don’t know what that was, but I appreciate the call.”.
“Yup,” Michael replied, setting up the killer blow. “I’ll go ahead and prompt you with the next step to close out this ticket. Please give me one moment.”.
The target then received a text message that referenced information about his account, stating that he was in a support call with Michael. Included in the message was a link to a website that mimicked Apple’s iCloud login page — 17505-apple[.]com. Once the target navigated to the phishing page, the video showed Perm’s screen in the upper right corner opening the phishing page from their end.
“Oh okay, now I log in with my Apple ID?,” the man asked.
“Yup, then just follow the steps it requires, and if you need any help, just let me know,” Michael replied.
As the victim typed in their Apple password and one-time passcode at the fake Apple site, Perm’s screen could be seen in the background logging into the victim’s iCloud account.
It’s unclear whether the phishers were able to steal any cryptocurrency from the victim in this case, who did not respond to requests for comment. However, shortly after this video was recorded, someone leaked several music recordings stolen from the victim’s iCloud account.
At the conclusion of the call, Michael offered to configure the victim’s Apple profile so that any further changes to the account would need to happen in person at a physical Apple store. This appears to be one of several scripted ploys used by these voice phishers to gain and maintain the target’s confidence.
Asked to comment for this story, Apple mentioned there has been no breach, hack, or technical exploit of iCloud or Apple services, and that the enterprise is continuously adding new protections to address new and emerging threats. For example, it mentioned it has implemented rate limiting for multi-factor authentication requests, which have been abused by voice phishing groups to impersonate Apple.
Apple expressed its representatives will never ask individuals to provide their password, device passcode, or two-factor authentication code or to enter it into a web page, even if it looks like an official Apple website. If a user receives a message or call that indicates to be from Apple, here is what the user should expect.
, the target lists used by their phishing callers originate mostly from a few crypto-related data breaches, including the 2022 and 2024 breaches involving user account data stolen from cryptocurrency hardware wallet vendor Trezor.
Perm’s group and other crypto phishing gangs rely on a mix of homemade code and third-party data broker services to refine their target lists. Known as “autodoxers,” these tools help phishing gangs quickly automate the acquisition and/or verification of personal data on a target prior to each call attempt.
Stotle noted their autodoxer used a Telegram bot that leverages hacked accounts at consumer data brokers to gather a wealth of information about their targets, including their full Social Security number, date of birth, current and previous addresses, employer, and the names of family members.
Some of these autodoxer tools also will check the value of the target’s home address at property search services online, and then sort the target lists so that the wealthiest are at the top.
Stotle’s messages on Discord and Telegram show that a phishing group renting Perm’s panel voice-phished tens of thousands of dollars worth of cryptocurrency from the billionaire Mark Cuban.
“I was an idiot,” Cuban told KrebsOnsecurity when asked about the June 2024 attack, which he first disclosed in a short-lived post on Twitter/X. “We were shooting Shark Tank and I was rushing between pitches.”.
Cuban noted he first received a notice from Google that someone had tried to log in to his account. Then he got a call from what appeared to be a Google phone number. Cuban noted he ignored several of these emails and calls until he decided they probably wouldn’t stop unless he answered.
“So I answered, and wasn’t paying enough attention,” he expressed. “They asked for the circled number that comes up on the screen. Like a moron, I gave it to them, and they were in.”.
Unfortunately for Cuban, somewhere in his inbox were the secret “seed phrases” protecting two of his cryptocurrency accounts, and armed with those credentials the crooks were able to drain his funds. All told, the thieves managed to steal roughly $43,000 worth of cryptocurrencies from Cuban’s wallets — a relatively small heist for this crew.
“They must have done some keyword searches,” once inside his Gmail account, Cuban stated. “I had sent myself an email I had forgotten about that had my seed words for 2 accounts that weren’t very active any longer. I had moved almost everything but some smaller balances to Coinbase.”.
LIFE IS A GAME: MONEY IS HOW WE KEEP SCORE.
Cybercriminals involved in voice phishing communities on Telegram are universally obsessed with their crypto holdings, mainly because in this community one’s demonstrable wealth is primarily what confers social status. It is not uncommon to see members sizing one another up using a verbal shorthand of “figs,” as in figures of crypto wealth.
For example, a low-level caller with no experience will sometimes be mockingly referred to as a 3fig or 3f, as in a person with less than $1,000 to their name. Salaries for callers are often also referenced this way, [website] “Weekly salary: 5f.”.
Voice phishing groups frequently require new members to provide “proof of funds” — screenshots of their crypto holdings, ostensibly to demonstrate they are not penniless — before they’re allowed to join.
This proof of funds (POF) demand is typical among thieves selling high-dollar items, because it tends to cut down on the time-wasting inquiries from criminals who can’t afford what’s for sale anyway. But it has become so common in cybercrime communities that there are now several services designed to create fake POF images and videos, allowing consumers to brag about large crypto holdings without actually possessing noted wealth.
Several of the phishing panel videos shared by Stotle feature audio that indicates co-conspirators were practicing responses to certain call scenarios, while other members of the phishing group critiqued them or tried disrupt their social engineering by being verbally abusive.
These groups will organize and operate for a few weeks, but tend to disintegrate when one member of the conspiracy decides to steal some or all of the loot, referred to in these communities as “snaking” others out of their agreed-upon sums. Almost invariably, the phishing groups will splinter apart over the drama caused by one of these snaking events, and individual members eventually will then re-form a new phishing group.
Allison Nixon is the chief research officer for Unit 221B, a cybersecurity firm in New York that has worked on a number of investigations involving these voice phishing groups. Nixon noted the constant snaking within the voice phishing circles points to a psychological self-selection phenomenon that is in desperate need of academic study.
“In short, a person whose moral compass lets them rob old people will also be a bad business partner,” Nixon expressed. “This is another fundamental flaw in this ecosystem and why most groups end in betrayal. This structural problem is great for journalists and the police too. Lots of snitching.”.
Asked about the size of Perm’s phishing enterprise, Stotle revealed there were dozens of distinct phishing groups paying to use Perm’s panel. He revealed each group was assigned their own subdomain on Perm’s main “command and control server,” which naturally uses the domain name commandandcontrolserver[.]com.
A review of that domain’s history exhibits there are at least 57 separate subdomains scattered across commandandcontrolserver[.]com and two other related control domains — thebackendserver[.]com and lookoutsucks[.]com. That latter domain was created and deployed shortly after Lookout .
The dozens of phishing domains that phone home to these control servers are all kept offline when they are not actively being used in phishing attacks. A social engineering training guide shared by Stotle explains this practice minimizes the chances that a phishing domain will get “redpaged,” a reference to the default red warning pages served by Google Chrome or Firefox whenever someone tries to visit a site that’s been flagged for phishing or distributing malware.
What’s more, while the phishing sites are live their operators typically place a CAPTCHA challenge in front of the main page to prevent security services from scanning and flagging the sites as malicious.
It may seem odd that so many cybercriminal groups operate so openly on instant collaboration networks like Telegram and Discord. After all, this blog is replete with stories about cybercriminals getting caught thanks to personal details they inadvertently leaked or disclosed themselves.
Nixon mentioned the relative openness of these cybercrime communities makes them inherently risky, but it also allows for the rapid formation and recruitment of new potential co-conspirators. Moreover, today’s English-speaking cybercriminals tend to be more afraid of getting home invaded or mugged by fellow cyber thieves than they are of being arrested by authorities.
“The biggest structural threat to the online criminal ecosystem is not the police or researchers, it is fellow criminals,” Nixon expressed. “To protect them from themselves, every criminal forum and marketplace has a reputation system, even though they know it’s a major liability when the police come. That is why I am not worried as we see criminals migrate to various ‘encrypted’ platforms that promise to ignore the police. To protect themselves advanced against the law, they have to ditch their protections against fellow criminals and that’s not going to happen.”.
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North Korean Hackers Deploy FERRET Malware via Fake Job Interviews on macOS

The North Korean threat actors behind the Contagious Interview campaign have been observed delivering a collection of Apple macOS malware strains dubbed FERRET as part of a supposed job interview process.
"Targets are typically asked to communicate with an interviewer through a link that throws an error message and a request to install or improvement some required piece of software such as VCam or CameraAccess for virtual meetings," SentinelOne researchers Phil Stokes and Tom Hegel mentioned in a new analysis.
Contagious Interview, first uncovered in late 2023, is a persistent effort undertaken by the hacking crew to deliver malware to prospective targets through bogus npm packages and native apps masquerading as videoconferencing software. It's also tracked as DeceptiveDevelopment and DEV#POPPER.
These attack chains are designed to drop a JavaScript-based malware known as BeaverTail, which, besides harvesting sensitive data from web browsers and crypto wallets, is capable of delivering a Python backdoor named InvisibleFerret.
In December 2024, Japanese cybersecurity organization NTT Security Holdings revealed that JavaScript malware is also configured to fetch and execute another malware known as OtterCookie.
The discovery of the FERRET family of malware, first uncovered towards the end of 2024, implies that the threat actors are actively honing their tactics to evade detection.
, who goes by the username @tayvano_, the attacks originate with the attackers approaching the targets on LinkedIn by posing as recruiters and urging them to complete a video assessment. The end goal is to drop a Golang-based backdoor and stealer that's designed to drain the victim's MetaMask Wallet and run commands on the host.
Some of the components associated with the malware have been referred to as FRIENDLYFERRET and FROSTYFERRET_UI. SentinelOne expressed it identified another set of artifacts named FlexibleFerret that takes care of establishing persistence on the infected macOS system by means of a LaunchAgent.
It's also engineered to download an unspecified payload from a command-and-control (C2) server, which is no longer responsive.
Furthermore, the FERRET malware has been observed being propagated by opening fake issues on legitimate GitHub repositories, once again pointing to a diversification of their attack methods.
"This implies that the threat actors are happy to expand the vectors by which they deliver the malware beyond the specific targeting of job seekers to developers more generally," the researchers stated.
The disclosure comes days after supply chain security firm Socket detailed a malicious npm package named postcss-optimizer containing the BeaverTail malware. The library remains available for download from the npm registry as of writing.
"By impersonating the legitimate postcss library, which has over 16 billion downloads, the threat actor aims to infect developers' systems with credential-stealing and data-exfiltration capabilities across Windows, macOS, and Linux systems," security researchers Kirill Boychenko and Peter van der Zee mentioned.
The development also follows the discovery of a new campaign mounted by the North Korea-aligned APT37 (aka ScarCruft) threat actor that involved distributing booby-trapped documents via spear-phishing campaigns to deploy the RokRAT malware, as well as propagate them to other targets over group chats through the K Messenger platform from the compromised user's computer.
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Lightning AI Studio Vulnerability Could've Allowed RCE via Hidden URL Parameter

Cybersecurity researchers have disclosed a critical security flaw in the Lightning AI Studio development platform that, if successfully exploited, could have allowed for remote code execution.
The vulnerability, rated a CVSS score of [website], enables "attackers to potentially execute arbitrary commands with root privileges" by exploiting a hidden URL parameter, application security firm Noma expressed in a findings shared with The Hacker News.
"This level of access could hypothetically be leveraged for a range of malicious activities, including the extraction of sensitive keys from targeted accounts," researchers Sasi Levi, Alon Tron, and Gal Moyal expressed.
The issue is embedded in a piece of JavaScript code that could facilitate unfettered access to a victim's development environment, as well as run arbitrary commands on an authenticated target in a privileged context.
Noma showcased it found a hidden parameter called "command" in user-specific URLs – [website], "[website];commmand=cmVzc..." – which could be used to pass a Base64-encoded instruction to be executed on the underlying host.
Even worse, the loophole could be weaponized to run commands that can exfiltrate critical information such as access tokens and user information to an attacker-controlled server.
Successful exploitation of the vulnerability means that it could permit an adversary to execute arbitrary privileged commands and gain root access, harvest sensitive data, and manipulate the file system to create, delete, or modify files on the server.
All an attacker needs to pull this off is prior knowledge of a profile username and their associated Lightning AI Studio, details that are publicly available via the Studio templates gallery.
Armed with this information, the threat actor can then craft a malicious link such that it triggers code execution on the identified Studio under root permissions. Following responsible disclosure on October 14, 2024, the problem has been resolved by the Lightning AI team as of October 25.
"Vulnerabilities like these underscore the importance of mapping and securing the tools and systems used for building, training, and deploying AI models because of their sensitive nature," the researchers noted.
After the publication of the story, Lightning AI told The Hacker News the potential vulnerability was immediately fixed after it was reported and that it found no evidence of the issue being exploited in the wild. The enterprise also stated its security review confirmed no unauthorized access occurred before the fix was put in place.
(The story was updated after publication to include a response from Lightning AI and make it clear that the vulnerability was never exploited.).
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
8.7% | 10.5% | 11.0% | 12.2% | 12.9% | 13.3% | 13.4% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
12.5% | 12.9% | 13.2% | 13.4% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Network Security | 26% | 10.8% |
Cloud Security | 23% | 17.6% |
Identity Management | 19% | 15.3% |
Endpoint Security | 17% | 13.9% |
Other Security Solutions | 15% | 12.4% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Palo Alto Networks | 14.2% |
Cisco Security | 12.8% |
Crowdstrike | 9.3% |
Fortinet | 7.6% |
Microsoft Security | 7.1% |
Future Outlook and Predictions
The Life Prolific Voice landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the cyber security sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing cyber security challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of cyber security evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.