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

Can Hire Now, Pay Later Redefine SMB Recruiting?

Small and midsize employers hit a familiar wall: the best candidate says yes, the offer window is narrow, and a chunky placement fee threatens to slow the decision, so a financing option that spreads cost without slowing hiring becomes less a perk and more a competitive necessity. This analysis unpacks how buy now, pay later (BNPL) principles are migrating into

BNPL Boom in Canada: Perks, Pitfalls, and Guardrails

A checkout button promised to split a $480 purchase into four bite-sized payments, and within minutes the order shipped, approval arrived, and the budget looked strangely untouched despite a brand-new gadget heading to the door. That frictionless tap-to-pay experience has rocketed buy now, pay later (BNPL) from niche option to mainstream credit in Canada, as lenders embed plans into retailer

Omnichannel CRM Orchestration – Review

What Omnichannel CRM Orchestration Means for Hospitality Guests do not think in systems, yet their journeys throw off a blizzard of signals across email, SMS, chat, phone, and web, and omnichannel CRM orchestration promises to catch those signals in one place, interpret intent, and respond with the next right action before momentum fades. In hospitality, that means tying every touch

Can Stigma-Free Money Education Boost Workplace Performance?

Setting the Stage: Why Financial Stress at Work Demands Stigma-Free Education Paychecks stretched thin, phones buzzing with overdue alerts, and minds drifting during shifts point to a simple truth: money stress quietly drains focus long before it sparks a crisis. Recent findings sharpen the picture—PwC’s 2026 survey reported 59% of employees feel financially stressed and nearly half say pay lags

AI for Employee Engagement – Review

Introduction Stalled engagement scores, rising quit intents, and whiplash skill shifts ask a widely debated question: can AI really help people care more about work and change faster without losing trust? That question is no longer theoretical for large employers facing tighter budgets and nonstop transformation, and it frames this review of AI for employee engagement—a class of tools that