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+359 875 328030

sales@diamatix.com

Contacts

Bulgaria, Kavarna
Saudi Arabia, Riyadh

+359 875 328030

sales@diamatix.com

LinkedIn Used as an Initial Access Vector in Multi-Stage RAT Campaign Targeting Enterprises

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LinkedIn Used as an Initial Access Vector in Multi-Stage RAT Campaign Targeting Enterprises

A newly observed phishing campaign is abusing LinkedIn as an initial access vector to deliver a remote access trojan (RAT) into corporate environments.
The operation relies on social engineering rather than technical exploitation, using LinkedIn’s trusted professional context to convince employees to download and execute malicious files.

Unlike traditional email-based phishing, this campaign operates largely outside standard email security controls.

Attack entry point

Threat actors initiate contact through direct messages on LinkedIn, impersonating recruiters, partners, or industry peers.
Messages are tailored to the recipient’s role and reference plausible business topics such as product roadmaps, project documentation, or partnership discussions.

Victims are directed to download weaponized WinRAR self-extracting archives, with filenames crafted to appear legitimate. Examples include:

  • “UpcomingProducts.pdf”

  • “ProjectExecutionPlan.exe”

  • “InternalStrategyReview.rar”

This approach increases trust and reduces suspicion, particularly in professional contexts.

Execution and evasion techniques

When executed, the archive extracts both legitimate and malicious components.
A trusted PDF reader application is launched to create the appearance of normal behavior, while a malicious Dynamic Link Library (DLL) placed in the same directory is silently loaded.

This technique, known as DLL sideloading, exploits how Windows applications prioritize local DLL loading before system directories. As a result, the malicious DLL executes under the context of a trusted process, reducing detection.

Multi-stage compromise and persistence

Analysis of the campaign shows a multi-stage infection chain:

  • Initial execution via DLL sideloading

  • Deployment of a bundled Python interpreter

  • In-memory execution of a Base64-encoded Python payload

  • Creation of a persistent registry Run key containing embedded Python code

The malware avoids writing traditional payloads to disk, limiting forensic artifacts and bypassing many signature-based defenses.

Once persistence is established, the compromised system can be used for:

  • Long-term remote access

  • Privilege escalation

  • Lateral movement within the enterprise

  • Data collection and exfiltration

Why this campaign is effective

The success of this attack lies in the convergence of multiple factors:

  • Abuse of a trusted professional platform

  • File naming aligned with business roles

  • Use of legitimate software as a launch vehicle

  • In-memory execution and minimal disk footprint

Together, these elements allow attackers to maintain a low operational profile while achieving durable access.

The DIAMATIX Perspective

This campaign reinforces a critical reality. Initial access no longer depends on email alone.
Professional collaboration platforms are increasingly becoming blind spots in enterprise security monitoring.

Key observations:

  • Social trust is being weaponized as effectively as technical flaws

  • DLL sideloading remains a reliable method for stealthy execution

  • Persistence mechanisms are optimized for long-term access, not quick impact

Organizations need visibility beyond the inbox and stronger controls around user-initiated downloads, regardless of the platform used.

Conclusion

LinkedIn-based phishing demonstrates how attackers adapt to defensive improvements by shifting to less monitored channels.
As collaboration tools continue to blur the line between personal and corporate interaction, security strategies must evolve accordingly.

Contact DIAMATIX

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Sources

  • ReliaQuest threat research on LinkedIn-based phishing and DLL sideloading campaigns

  • Technical analysis of WinRAR self-extracting archive abuse

  • Microsoft documentation on DLL search order and sideloading behavior

  • Public malware research on Python-based in-memory payload execution

  • Open-source reporting on social engineering abuse of professional platforms

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