Threat Intelligence | NPM Supply-Chain Poisoning Analysis — Reconstructing the Shai-Hulud Attack
Threat Intelligence | NPM Supply-Chain Poisoning Analysis — Reconstructing the Shai-Hulud Attack
Background
Recently, the NPM ecosystem skilled one other large-scale package poisoning incident. This occasion is very associated to the Shai-Hulud assault that occurred in September 2025. The malicious code embedded in the compromised NPM packages was designed to steal delicate data, together with developer keys, API keys, and setting variables. Using the stolen credentials, the attacker created public repositories and uploaded the exfiltrated knowledge.
SlowMist’s independently developed Web3 threat-intelligence and real-time safety monitoring platform, MistEye, responded instantly and swiftly pushed related menace intelligence to offer vital safety safety for our shoppers.
Meanwhile, the backend instantly preserves the malicious samples and computes their corresponding artifacts, comparable to SHA-256 hashes.
Analysis Process
Using the package deal @asyncapi/php-template@0.1.1 for instance, a comparability with the earlier model @asyncapi/php-template@0.1.0 reveals that model 0.1.1 introduces two further JavaScript recordsdata: setup_bun.js and an obfuscated file named bun_environment.js.
A brand new preinstall script was added to the package deal.json, inflicting setup_bun.js to be executed mechanically earlier than the dependency set up course of begins.
In setup_bun.js, the script first checks whether or not Bun is already put in on the system. If it isn’t detected, the script mechanically downloads and installs Bun from the official supply, after which configures the setting variables to make sure the Bun executable may be positioned accurately.
Finally, it makes use of Bun to execute the bun_environment.js file, which is a extremely obfuscated malicious script.
After partially deobfuscating the malicious script, it turns into clear that aL0() serves as the principal entry level of the payload. From the restored logic, we will observe that the script is designed to steal delicate data. It first checks the execution setting to find out whether or not NPM or GitHub credentials are current. If such credentials are detected, it makes an attempt to propagate by way of the provide chain utilizing the NPM credentials. All collected system data and delicate knowledge are then packaged and uploaded to a GitHub repository managed by the attacker for additional exploitation.
Credential Theft
AWS: The malicious script implements two capabilities — runSecrets() and listAndRetrieveAllSecrets(). The runSecrets() operate iterates by way of all discoverable cloud entry credentials and all potential areas to maximise the scanning scope. The listAndRetrieveAllSecrets() operate then performs “deep enumeration” inside the specified credentials and area, itemizing all Secrets and retrieving their most up-to-date plaintext values. By combining these two capabilities, the attacker is ready to extract all accessible SecretString and SecretBinary values from the sufferer’s AWS account in a single sweep.
The enumerateValidCredentials() operate is primarily chargeable for comprehensively accumulating all usable cloud service credentials. It makes an attempt to extract credentials from numerous sources — comparable to setting variables, configuration recordsdata, and CLI logins — and data any credential that may be efficiently validated. These verified credentials are then utilized in subsequent phases to steal cloud secrets and techniques.
GCP: Another implementation of the listAndRetrieveAllSecrets() operate in the malicious script targets the GCP module. It first enumerates all Secrets inside the specified GCP undertaking by utilizing the supplied Project ID. It then immediately locates the newest model of every Secret and invokes entrySecretModel to retrieve its plaintext worth. All extracted secrets and techniques — comparable to API keys, database passwords, and extra — are subsequently collected one by one.
Azure: Another implementation of the listAndRetrieveAllSecrets() operate in the malicious script particularly targets the Azure module. It first makes use of Azure Resource Manager to scan the complete subscription and establish all Key Vaults. It then makes use of the obtained credentials to hook up with every Vault one after the other. Finally, it enumerates all Secrets inside the Vaults and retrieves the plaintext worth of every secret by invoking getSecret.
In the technique of stealing delicate data, the malicious script additionally abuses official safety instruments in opposition to the sufferer. Within the extractAndInstall() operate, the script extracts and deploys the TruffleHog binary. TruffleHog — initially designed to detect and validate leaked secrets and techniques comparable to API keys and credentials inside code repositories — is repurposed by the attacker to scan the sufferer’s complete filesystem.
NPM Supply-Chain Propagation
The malicious script implements an updatePackage() operate that’s used to carry out NPM supply-chain propagation. Using the stolen NPM token, it first downloads the supply code of official NPM packages for which the sufferer holds publish permissions. It then modifies the package deal.json file by injecting a malicious preinstall script command into the scripts subject, and inserts the malicious payload into the package deal. The package deal model quantity is mechanically incremented by one to set off customers’ computerized updates, after which the compromised package deal containing the malicious script is printed to the official NPM registry.
Backdoor and C2
After stealing the data, the script makes use of the compromised GitHub token to create a randomly named repository underneath the sufferer’s account and obtains a registration token to disguise the sufferer’s machine as a self-hosted GitHub Actions Runner for that repository. The attacker then implants a malicious workflow into the repository, inflicting any triggered Actions job to execute immediately on the sufferer’s machine, thereby attaining distant code execution.
The stolen data is then encoded twice with Base64 and uploaded to the newly created repository, all of which carries the description “Sha1-Hulud: The Second Coming.”
After decoding, the delicate knowledge leaked from the consumer may be clearly seen.
Conclusion
This NPM repository poisoning incident combines worm‑like propagation with lengthy‑time period persistence through self‑hosted runners, and additional leverages TruffleHog as a part of the assault chain. The SlowMist safety staff recommends that builders undertake strict dependency model‑locking methods when constructing and releasing new iterations. If a dependency requires safety or practical updates, it must be upgraded solely by way of an inside, rigorous safety evaluation course of, and the locked variations must be up to date accordingly to keep away from introducing new dangers by way of blind updates.
For extra data on APT intelligence, dependency‑poisoning intelligence, and different safety insights, it’s possible you’ll contact us to acquire the Web3 menace‑intelligence and actual‑time safety monitoring platform MistEye, which gives up‑to‑date menace intelligence that can assist you rapidly establish threats and block assaults in time.
Official web site: https://misteye.io/
Contact: https://www.slowmist.com/contact-us.html
IoCs
SHA256:
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About SlowMist
SlowMist is a menace intelligence agency centered on blockchain safety, established in January 2018. The agency was began by a staff with over ten years of community safety expertise to turn out to be a worldwide drive. Our objective is to make the blockchain ecosystem as safe as potential for everybody. We at the moment are a famend worldwide blockchain safety agency that has labored on numerous well-known initiatives comparable to HashKey Exchange, OSL, MEEX, BGE, BTCBOX, Bitget, BHEX.SG, OKX, Binance, HTX, Amber Group, Crypto.com, and many others.
SlowMist provides quite a lot of providers that embrace however aren’t restricted to safety audits, menace data, protection deployment, safety consultants, and different security-related providers. We additionally provide AML (Anti-money laundering) software program, MistEye (Security Monitoring), SlowMist Hacked (Crypto hack archives), FireWall.x (Smart contract firewall) and different SaaS merchandise. We have partnerships with home and worldwide corporations comparable to Akamai, BitDefender, RC², TianJi Partners, IPIP, and many others. Our in depth work in cryptocurrency crime investigations has been cited by worldwide organizations and authorities our bodies, together with the United Nations Security Council and the United Nations Office on Drugs and Crime.
By delivering a complete safety resolution personalized to particular person initiatives, we will establish dangers and forestall them from occurring. Our staff was capable of finding and publish a number of high-risk blockchain safety flaws. By doing so, we might unfold consciousness and lift the safety requirements in the blockchain ecosystem.
