Cryptojacking Campaign Targets PostgreSQL Servers Via Unauthorized Access

Article Highlights
Off On

A concerning ongoing campaign has been identified, targeting exposed PostgreSQL instances to deploy cryptocurrency miners through unauthorized access. This recent cyber intrusion has been closely monitored by security firm Wiz, which has labeled this malicious activity as a variant of the intrusion initially discovered by Aqua Security last year. Using malware named PG_MEM, the campaign is attributed to the threat actor JINX-0126. This operation showcases sophisticated defense evasion techniques, such as deploying binaries with unique hashes for each target and executing miner payloads filelessly to evade detection.

Unauthorized Access and Exploits

The campaign has successfully compromised over 1,500 PostgreSQL servers, primarily taking advantage of systems with weak or easily guessable credentials. One of the key tactics employed by the attackers involves abusing the COPY … FROM PROGRAM SQL command to execute shell commands, allowing them to gain an initial foothold on the targeted server. They further use a Base64-encoded shell script to eliminate competing cryptocurrency miners and install a malicious binary named PG_CORE. This method ensures continued control over the infected system, enabling the attackers to maintain their cryptojacking activities without interruption.

An obfuscated Golang binary, deceitfully named postmaster to mimic the legitimate PostgreSQL server, aids persistence. This binary establishes itself via cron jobs, creates a privileged role within the database, and writes another binary, cpu_hu, to disk. The binary cpu_hu, in turn, downloads the latest version of the XMRig miner from GitHub and launches it filelessly using the memfd technique, a tactic known for its efficiency in avoiding detection. Each compromised machine becomes uniquely assigned as a mining worker, contributing to the attacker’s overall mining operations.

Indicators and Impacts of the Campaign

Evidence indicates that the threat actor assigns a unique identifier to each mining worker, with three wallets showing links to approximately 550 workers each. This alignment implies that the campaign may involve more than 1,500 compromised machines. The wide-reaching impact highlights the significant risk posed by publicly exposed PostgreSQL instances, which often become opportunistic targets for such malicious campaigns due to their vulnerabilities.

The campaign’s distinctive characteristics include fileless payload execution, unique binary hashes per target, and sophisticated persistence mechanisms. This level of intricacy reflects the evolving strategies employed by JINX-0126, who have demonstrated a refined approach to cryptojacking. These developments underscore the critical need for robust security practices and proactive measures to safeguard cloud environments and database servers from exploitation.

Strategic Takeaways

A significant ongoing cyber campaign has been detected, targeting unprotected PostgreSQL databases to install cryptocurrency mining software through unauthorized access. Security firm Wiz has been closely monitoring this recent cyber intrusion, identifying it as a variant of an attack first uncovered by Aqua Security last year. The malware, named PG_MEM, is linked to the threat actor known as JINX-0126. This sophisticated operation uses advanced techniques to avoid detection, such as deploying binaries with unique hashes for each target and executing their miner payloads without creating files, rendering traditional security measures less effective. The attackers’ ability to adapt and evolve their strategies highlights the critical need for robust security measures to protect database instances from such threats. Organizations are urged to secure their PostgreSQL instances by applying necessary security patches, monitoring unusual activities, and implementing best practices to avoid falling victim to these sophisticated attacks.

Explore more

A Beginner’s Guide to Data Engineering and DataOps for 2026

While the public often celebrates the triumphs of artificial intelligence and predictive modeling, these high-level insights depend entirely on a hidden, gargantuan plumbing system that keeps data flowing, clean, and accessible. In the current landscape, the realization has settled across the corporate world that a data scientist without a data engineer is like a master chef in a kitchen with

Ethereum Adopts ERC-7730 to Replace Risky Blind Signing

For years, the experience of interacting with decentralized applications on the Ethereum blockchain has been fraught with a precarious and dangerous uncertainty known as blind signing. Every time a user attempted to swap tokens or provide liquidity, their hardware or software wallet would present them with a wall of incomprehensible hexadecimal code, essentially asking them to authorize a financial transaction

Germany Funds KDE to Boost Linux as Windows Alternative

The decision by the German government to allocate a 1.3 million euro grant to the KDE community marks a definitive shift in how European nations view the long-standing dominance of proprietary operating systems like Windows and macOS. This financial injection, facilitated by the Sovereign Tech Fund, serves as a high-stakes investment in the concept of digital sovereignty, aiming to provide

Why Is This $20 Windows 11 Pro and Training Bundle a Steal?

Navigating the complexities of modern computing requires more than just high-end hardware; it demands an operating system that integrates seamlessly with artificial intelligence while providing robust security for sensitive personal and professional data. As of 2026, many users still find themselves tethered to aging software environments that struggle to keep pace with the rapid advancements in cloud computing and data

Notion Launches Developer Platform for AI Agent Management

The modern enterprise currently grapples with an overwhelming explosion of disconnected software tools that fragment critical information and stall meaningful productivity across entire departments. While the shift toward artificial intelligence promised to streamline these disparate workflows, the reality has often resulted in a chaotic landscape where specialized agents lack the necessary context to perform high-stakes tasks autonomously. Organizations frequently find