At least 18 popular JavaScript code packages that are collectively downloaded more than two billion times each week were briefly compromised with malicious software today, after a developer involved in maintaining the projects was phished. The attack appears to have been quickly contained and was narrowly focused on stealing cryptocurrency. But experts warn that a similar attack with a slightly more nefarious payload could lead to a disruptive malware outbreak that is far more difficult to detect and restrain.

This phishing email lured a developer into logging in at a fake NPM website and supplying a one-time token for two-factor authentication. The phishers then used that developer’s NPM account to add malicious code to at least 18 popular JavaScript code packages.

Aikido is a security firm in Belgium that monitors new code updates to major open-source code repositories, scanning any code updates for suspicious and malicious code. In a blog post published today, Aikido said its systems found malicious code had been added to at least 18 widely-used code libraries available on NPM (short for) “Node Package Manager,” which acts as a central hub for JavaScript development and the latest updates to widely-used JavaScript components.

JavaScript is a powerful web-based scripting language used by countless websites to build a more interactive experience with users, such as entering data into a form. But there’s no need for each website developer to build a program from scratch for entering data into a form when they can just reuse already existing packages of code at NPM that are specifically designed for that purpose.

Unfortunately, if cybercriminals manage to phish NPM credentials from developers, they can introduce malicious code that allows attackers to fundamentally control what people see in their web browser when they visit a website that uses one of the affected code libraries.

According to Aikido, the attackers injected a piece of code that silently intercepts cryptocurrency activity in the browser, “manipulates wallet interactions, and rewrites payment destinations so that funds and approvals are redirected to attacker-controlled accounts without any obvious signs to the user.”

“This malware is essentially a browser-based interceptor that hijacks both network traffic and application APIs,” Aikido researcher Charlie Eriksen wrote. “What makes it dangerous is that it operates at multiple layers: Altering content shown on websites, tampering with API calls, and manipulating what users’ apps believe they are signing. Even if the interface looks correct, the underlying transaction can be redirected in the background.”

Aikido said it used the social network Bsky to notify the affected developer, Josh Junon, who quickly replied that he was aware of having just been phished. The phishing email that Junon fell for was part of a larger campaign that spoofed NPM and told recipients they were required to update their two-factor authentication (2FA) credentials. The phishing site mimicked NPM’s login page, and intercepted Junon’s credentials and 2FA token. Once logged in, the phishers then changed the email address on file for Junon’s NPM account, temporarily locking him out.

Aikido notified the maintainer on Bluesky, who replied at 15:15 UTC that he was aware of being compromised, and starting to clean up the compromised packages.

Junon also issued a mea culpa on HackerNews, telling the community’s coder-heavy readership, “Hi, yep I got pwned.”

“It looks and feels a bit like a targeted attack,” Junon wrote. “Sorry everyone, very embarrassing.”

Philippe Caturegli, “chief hacking officer” at the security consultancy Seralys, observed that the attackers appear to have registered their spoofed website — npmjs[.]help — just two days before sending the phishing email. The spoofed website used services from dnsexit[.]com, a “dynamic DNS” company that also offers “100% free” domain names that can instantly be pointed at any IP address controlled by the user.

Junon’s mea cupla on Hackernews today listed the affected packages.

Caturegli said it’s remarkable that the attackers in this case were not more ambitious or malicious with their code modifications.

“The crazy part is they compromised billions of websites and apps just to target a couple of cryptocurrency things,” he said. “This was a supply chain attack, and it could easily have been something much worse than crypto harvesting.”

Aikido’s Eriksen agreed, saying countless websites dodged a bullet because this incident was handled in a matter of hours. As an example of how these supply-chain attacks can escalate quickly, Eriksen pointed to another compromise of an NPM developer in late August that added malware to “nx,” an open-source code development toolkit with as many as six million weekly downloads.

In the nx compromise, the attackers introduced code that scoured the user’s device for authentication tokens from programmer destinations like GitHub and NPM, as well as SSH and API keys. But instead of sending those stolen credentials to a central server controlled by the attackers, the malicious code created a new public repository in the victim’s GitHub account, and published the stolen data there for all the world to see and download.

Eriksen said coding platforms like GitHub and NPM should be doing more to ensure that any new code commits for broadly-used packages require a higher level of attestation that confirms the code in question was in fact submitted by the person who owns the account, and not just by that person’s account.

“More popular packages should require attestation that it came through trusted provenance and not just randomly from some location on the Internet,” Eriksen said. “Where does the package get uploaded from, by GitHub in response to a new pull request into the main branch, or somewhere else? In this case, they didn’t compromise the target’s GitHub account. They didn’t touch that. They just uploaded a modified version that didn’t come where it’s expected to come from.”

Eriksen said code repository compromises can be devastating for developers, many of whom end up abandoning their projects entirely after such an incident.

“It’s unfortunate because one thing we’ve seen is people have their projects get compromised and they say, ‘You know what, I don’t have the energy for this and I’m just going to deprecate the whole package,'” Eriksen said.

Kevin Beaumont, a frequently quoted security expert who writes about security incidents at the blog doublepulsar.com, has been following this story closely today in frequent updates to his account on Mastodon. Beaumont said the incident is a reminder that much of the planet still depends on code that is ultimately maintained by an exceedingly small number of people who are mostly overburdened and under-resourced.

“For about the past 15 years every business has been developing apps by pulling in 178 interconnected libraries written by 24 people in a shed in Skegness,” Beaumont wrote on Mastodon. “For about the past 2 years orgs have been buying AI vibe coding tools, where some exec screams ‘make online shop’ into a computer and 389 libraries are added and an app is farted out. The output = if you want to own the world’s companies, just phish one guy in Skegness.”

Image: https://infosec.exchange/@GossiTheDog@cyberplace.social.

Aikido recently launched a product that aims to help development teams ensure that every code library used is checked for malware before it can be used or installed. Nicholas Weaver, a researcher with the International Computer Science Institute, a nonprofit in Berkeley, Calif., said Aikido’s new offering exists because many organizations are still one successful phishing attack away from a supply-chain nightmare.

Weaver said these types of supply-chain compromises will continue as long as people responsible for maintaining widely-used code continue to rely on phishable forms of 2FA.

“NPM should only support phish-proof authentication,” Weaver said, referring to physical security keys that are phish-proof — meaning that even if phishers manage to steal your username and password, they still can’t log in to your account without also possessing that physical key.

“All critical infrastructure needs to use phish-proof 2FA, and given the dependencies in modern software, archives such as NPM are absolutely critical infrastructure,” Weaver said. “That NPM does not require that all contributor accounts use security keys or similar 2FA methods should be considered negligence.”

Marko Elez, a 25-year-old employee at Elon Musk’s Department of Government Efficiency (DOGE), has been granted access to sensitive databases at the U.S. Social Security Administration, the Treasury and Justice departments, and the Department of Homeland Security. So it should fill all Americans with a deep sense of confidence to learn that Mr. Elez over the weekend inadvertently published a private key that allowed anyone to interact directly with more than four dozen large language models (LLMs) developed by Musk’s artificial intelligence company xAI.

Image: Shutterstock, @sdx15.

On July 13, Mr. Elez committed a code script to GitHub called “agent.py” that included a private application programming interface (API) key for xAI. The inclusion of the private key was first flagged by GitGuardian, a company that specializes in detecting and remediating exposed secrets in public and proprietary environments. GitGuardian’s systems constantly scan GitHub and other code repositories for exposed API keys, and fire off automated alerts to affected users.

Philippe Caturegli, “chief hacking officer” at the security consultancy Seralys, said the exposed API key allowed access to at least 52 different LLMs used by xAI. The most recent LLM in the list was called “grok-4-0709” and was created on July 9, 2025.

Grok, the generative AI chatbot developed by xAI and integrated into Twitter/X, relies on these and other LLMs (a query to Grok before publication shows Grok currently uses Grok-3, which was launched in Feburary 2025). Earlier today, xAI announced that the Department of Defense will begin using Grok as part of a contract worth up to $200 million. The contract award came less than a week after Grok began spewing antisemitic rants and invoking Adolf Hitler.

Mr. Elez did not respond to a request for comment. The code repository containing the private xAI key was removed shortly after Caturegli notified Elez via email. However, Caturegli said the exposed API key still works and has not yet been revoked.

“If a developer can’t keep an API key private, it raises questions about how they’re handling far more sensitive government information behind closed doors,” Caturegli told KrebsOnSecurity.

Prior to joining DOGE, Marko Elez worked for a number of Musk’s companies. His DOGE career began at the Department of the Treasury, and a legal battle over DOGE’s access to Treasury databases showed Elez was sending unencrypted personal information in violation of the agency’s policies.

While still at Treasury, Elez resigned after The Wall Street Journal linked him to social media posts that advocated racism and eugenics. When Vice President J.D. Vance lobbied for Elez to be rehired, President Trump agreed and Musk reinstated him.

Since his re-hiring as a DOGE employee, Elez has been granted access to databases at one federal agency after another. TechCrunch reported in February 2025 that he was working at the Social Security Administration. In March, Business Insider found Elez was part of a DOGE detachment assigned to the Department of Labor.

Marko Elez, in a photo from a social media profile.

In April, The New York Times reported that Elez held positions at the U.S. Customs and Border Protection and the Immigration and Customs Enforcement (ICE) bureaus, as well as the Department of Homeland Security. The Washington Post later reported that Elez, while serving as a DOGE advisor at the Department of Justice, had gained access to the Executive Office for Immigration Review’s Courts and Appeals System (EACS).

Elez is not the first DOGE worker to publish internal API keys for xAI: In May, KrebsOnSecurity detailed how another DOGE employee leaked a private xAI key on GitHub for two months, exposing LLMs that were custom made for working with internal data from Musk’s companies, including SpaceX, Tesla and Twitter/X.

Caturegli said it’s difficult to trust someone with access to confidential government systems when they can’t even manage the basics of operational security.

“One leak is a mistake,” he said. “But when the same type of sensitive key gets exposed again and again, it’s not just bad luck, it’s a sign of deeper negligence and a broken security culture.”

An employee at Elon Musk’s artificial intelligence company xAI leaked a private key on GitHub that for the past two months could have allowed anyone to query private xAI large language models (LLMs) which appear to have been custom made for working with internal data from Musk’s companies, including SpaceX, Tesla and Twitter/X, KrebsOnSecurity has learned.

Image: Shutterstock, @sdx15.

Philippe Caturegli, “chief hacking officer” at the security consultancy Seralys, was the first to publicize the leak of credentials for an x.ai application programming interface (API) exposed in the GitHub code repository of a technical staff member at xAI.

Caturegli’s post on LinkedIn caught the attention of researchers at GitGuardian, a company that specializes in detecting and remediating exposed secrets in public and proprietary environments. GitGuardian’s systems constantly scan GitHub and other code repositories for exposed API keys, and fire off automated alerts to affected users.

GitGuardian’s Eric Fourrier told KrebsOnSecurity the exposed API key had access to several unreleased models of Grok, the AI chatbot developed by xAI. In total, GitGuardian found the key had access to at least 60 fine-tuned and private LLMs.

“The credentials can be used to access the X.ai API with the identity of the user,” GitGuardian wrote in an email explaining their findings to xAI. “The associated account not only has access to public Grok models (grok-2-1212, etc) but also to what appears to be unreleased (grok-2.5V), development (research-grok-2p5v-1018), and private models (tweet-rejector, grok-spacex-2024-11-04).”

Fourrier found GitGuardian had alerted the xAI employee about the exposed API key nearly two months ago — on March 2. But as of April 30, when GitGuardian directly alerted xAI’s security team to the exposure, the key was still valid and usable. xAI told GitGuardian to report the matter through its bug bounty program at HackerOne, but just a few hours later the repository containing the API key was removed from GitHub.

“It looks like some of these internal LLMs were fine-tuned on SpaceX data, and some were fine-tuned with Tesla data,” Fourrier said. “I definitely don’t think a Grok model that’s fine-tuned on SpaceX data is intended to be exposed publicly.”

xAI did not respond to a request for comment. Nor did the 28-year-old xAI technical staff member whose key was exposed.

Carole Winqwist, chief marketing officer at GitGuardian, said giving potentially hostile users free access to private LLMs is a recipe for disaster.

“If you’re an attacker and you have direct access to the model and the back end interface for things like Grok, it’s definitely something you can use for further attacking,” she said. “An attacker could it use for prompt injection, to tweak the (LLM) model to serve their purposes, or try to implant code into the supply chain.”

The inadvertent exposure of internal LLMs for xAI comes as Musk’s so-called Department of Government Efficiency (DOGE) has been feeding sensitive government records into artificial intelligence tools. In February, The Washington Post reported DOGE officials were feeding data from across the Education Department into AI tools to probe the agency’s programs and spending.

The Post said DOGE plans to replicate this process across many departments and agencies, accessing the back-end software at different parts of the government and then using AI technology to extract and sift through information about spending on employees and programs.

“Feeding sensitive data into AI software puts it into the possession of a system’s operator, increasing the chances it will be leaked or swept up in cyberattacks,” Post reporters wrote.

Wired reported in March that DOGE has deployed a proprietary chatbot called GSAi to 1,500 federal workers at the General Services Administration, part of an effort to automate tasks previously done by humans as DOGE continues its purge of the federal workforce.

A Reuters report last month said Trump administration officials told some U.S. government employees that DOGE is using AI to surveil at least one federal agency’s communications for hostility to President Trump and his agenda. Reuters wrote that the DOGE team has heavily deployed Musk’s Grok AI chatbot as part of their work slashing the federal government, although Reuters said it could not establish exactly how Grok was being used.

Caturegli said while there is no indication that federal government or user data could be accessed through the exposed x.ai API key, these private models are likely trained on proprietary data and may unintentionally expose details related to internal development efforts at xAI, Twitter, or SpaceX.

“The fact that this key was publicly exposed for two months and granted access to internal models is concerning,” Caturegli said. “This kind of long-lived credential exposure highlights weak key management and insufficient internal monitoring, raising questions about safeguards around developer access and broader operational security.”