#networksecurity — Public Fediverse posts

Security Tip: Stop trusting your internal network. 🛡️ The 'castle and moat' strategy is dead. In a Zero Trust architecture, every access request must be authenticated, authorized, and encrypted, regardless of whether it originates inside or outside the network. This 'never trust, always verify' approach is essential for modern defense. Monitor emerging threats at https://cvedatabase.com #ZeroTrust #InfoSec #CyberSecurity #CVE #NetworkSecurity

🔎 NMAP — THE ULTIMATE RECON ROADMAP

Nmap is one of the most powerful tools for network discovery and security auditing. 💻 From host discovery and port scanning to service detection, NSE scripts and reporting, this 10-step roadmap covers the essential workflow every cybersecurity enthusiast should understand. 🔐⚡

💬 Comment “NMAP” and I’ll show you the roadmap to follow step by step.

#Nmap #CyberSecurity #NetworkSecurity #EthicalHacking #InfoSec

🔎 NMAP — THE ULTIMATE RECON ROADMAP

Nmap is one of the most powerful tools for network discovery and security auditing. 💻 From host discovery and port scanning to service detection, NSE scripts and reporting, this 10-step roadmap covers the essential workflow every cybersecurity enthusiast should understand. 🔐⚡

💬 Comment “NMAP” and I’ll show you the roadmap to follow step by step.

#Nmap #CyberSecurity #NetworkSecurity #EthicalHacking #InfoSec

Security Tip: Move beyond the "crunchy shell" network model. 🛡️

In a Zero Trust architecture, we assume the network is compromised. Microsegmentation allows you to isolate workloads at the service level.

By enforcing strict security policies between components, you prevent attackers from moving laterally through your environment.

Stay ahead of new threats: https://cvedatabase.com

#InfoSec #CyberSecurity #ZeroTrust #NetworkSecurity

🤔 Not using Spamhaus' DROP lists already?

You can access them for FREE and gain protection against the worst of the worst IP traffic at the routing level.

Lists are available for IPv4, IPv6 and ASN filtering:
➡️ https://www.spamhaus.org/blocklists/do-not-route-or-peer/

#CyberSecurity #ThreatIntel #NetworkSecurity #Infosec
3/3

🤔 Not using Spamhaus' DROP lists already?

You can access them for FREE and gain protection against the worst of the worst IP traffic at the routing level.

Lists are available for IPv4, IPv6 and ASN filtering:
➡️ https://www.spamhaus.org/blocklists/do-not-route-or-peer/

#CyberSecurity #ThreatIntel #NetworkSecurity #Infosec
3/3

📡 Can Someone Find Every Device on Your WiFi?

Using Fing, I scan my own network to discover connected devices, check my router for potential security issues, and see how easily hidden cameras can be detected. 🔐

💬 Comment “WIFI” if you want more network security tests like this.

#CyberSecurity #WiFiSecurity #Fing #NetworkSecurity #Privacy

📡 Can Someone Find Every Device on Your WiFi?

Using Fing, I scan my own network to discover connected devices, check my router for potential security issues, and see how easily hidden cameras can be detected. 🔐

💬 Comment “WIFI” if you want more network security tests like this.

#CyberSecurity #WiFiSecurity #Fing #NetworkSecurity #Privacy

Running Proxmox on a dedicated server? Our new tutorial shows you how to virtualize pfSense as your firewall — WAN/LAN bridge setup, VM provisioning, interface assignment, and the VirtIO checksum-offload fix that keeps throughput from tanking.

We also cover pulling Proxmox management off the public internet entirely and securing it behind your new firewall.

Full guide: https://www.fitservers.com/tutorials/configure-pfsense-virtual-firewall-proxmox-dedicated-server/

#pfSense #Proxmox #DedicatedServer #NetworkSecurity #SysAdmin #Homelab #Virtualization

📰 15 Flaws in TP-Link ZTP System Expose Networks to Takeover

Forescout researchers found 15 chained vulnerabilities in TP-Link's Omada ZTP system, allowing full network takeover. Flaws affect controllers, switches & APs, with 1,800+ controllers exposed online. #Vulnerability #NetworkSecurity #TPLink

🔗 https://cyber.netsecops.io/articles/15-vulnerabilities-in-tp-link-omada-provisioning-system-expose-networks-to-takeover/?utm_source=mastodon&utm_medium=social&utm_campaign=daily

🔐 New tutorial: Setting up OpenVPN on a dedicated server — own your traffic, no third-party logging, no shared IP pools.

Covers both the fast scripted install and the full manual Easy-RSA method, with current security defaults (AES-256-GCM, TLS 1.2+), firewall configuration, and troubleshooting.

Read the full guide 👉 https://www.fitservers.com/tutorials/howto/setup-openvpn-dedicated-server/

#OpenVPN #VPN #SelfHosted #Linux #Sysadmin #NetworkSecurity #Ubuntu #foß

I'm getting rid of Mullvad, because I don't want any of my money going to Nazis.

Any suggestions for an alternative? I'm pretty much insisting on paying (because "if it's free, you're the product", and this is supposed to be a privacy tool).

I like the cut of Windscribe's jib, but is it just cool marketing? Proton's a shaky one with their free and easy stance on giving governments access to people's email. Nord feels overhyped. What are the hot tips for simple unobtrusive VPN services?

#VPN #Mullvad #Windscribe #Proton #Privacy #Security #NetworkSecurity

I'm getting rid of Mullvad, because I don't want any of my money going to Nazis.

Any suggestions for an alternative? I'm pretty much insisting on paying (because "if it's free, you're the product", and this is supposed to be a privacy tool).

I like the cut of Windscribe's jib, but is it just cool marketing? Proton's a shaky one with their free and easy stance on giving governments access to people's email. Nord feels overhyped. What are the hot tips for simple unobtrusive VPN services?

#VPN #Mullvad #Windscribe #Proton #Privacy #Security #NetworkSecurity

Security Tip: Don't let one compromised server lead to a full network breach. 🛡️

Micro-segmentation is a core pillar of Zero Trust. By breaking your network into granular, isolated segments, you ensure that lateral movement is restricted. Even if an attacker gains a foothold, they are trapped within a single segment.

Monitor new vulnerabilities and secure your architecture with resources from https://cvedatabase.com

#ZeroTrust #NetworkSecurity #InfoSec

Bad Apple but It's Traceroute

https://jssfr.de/2026-07-27-bad-apple-but-traceroute.html

Comments: https://news.ycombinator.com/item?id=49071299

#HackerNews #BadApple #Traceroute #NetworkSecurity #TechHumor #InternetCulture

Bad Apple but It's Traceroute

https://jssfr.de/2026-07-27-bad-apple-but-traceroute.html

Comments: https://news.ycombinator.com/item?id=49071299

#HackerNews #BadApple #Traceroute #NetworkSecurity #TechHumor #InternetCulture

How to Stay Protected

XMRig Malware Campaigns Target Businesses

Cybersecurity threats continue to evolve, and one of the most persistent threats facing businesses today involves cybercriminals abusing the popular XMRig mining software. While XMRig is a legitimate, open-source cryptocurrency miner used by many enthusiasts to mine Monero (XMR), attackers frequently modify or secretly install it on corporate computers to generate profits without the owner’s knowledge.

In this article, we’ll explain how XMRig is being misused in corporate environments, the risks to businesses, how these attacks work, and the best practices to prevent them.

What Is XMRig?

XMRig is a free and open-source CPU and GPU miner designed primarily for mining Monero (XMR). It is widely respected within the cryptocurrency community because it is efficient, actively maintained, and available for Windows, Linux, and macOS.

By itself, XMRig is not malware. However, cybercriminals often bundle modified versions of XMRig with malicious software or deploy it after compromising a computer.

Why Are Businesses Being Targeted?

Corporate environments provide an attractive opportunity for attackers because they often contain:

• High-performance desktop computers
• Powerful servers
• Multiple workstations
• Cloud infrastructure
• Continuous internet connectivity

Instead of mining cryptocurrency on their own hardware, attackers infect company devices and secretly use the organisation’s computing power.

The result is free cryptocurrency mining at the company’s expense.

How XMRig Malware Gets Installed

Most unauthorised XMRig installations begin after another security weakness has already been exploited.

Common infection methods include:

• Phishing emails containing malicious attachments
• Fake software downloads
• Exploitation of unpatched vulnerabilities
• Weak Remote Desktop Protocol (RDP) passwords
• Stolen administrator credentials
• Trojan malware that downloads additional payloads

Once attackers gain access, they silently install XMRig and configure it to connect to their own mining pools.

Warning Signs of an XMRig Infection

Many organisations discover mining malware only after performance problems become noticeable.

Common symptoms include:

• Constantly high CPU usage
• Increased electricity consumption
• Slow computers
• Loud cooling fans
• Servers running hotter than normal
• Unknown scheduled tasks
• Unexpected outbound network traffic
• Security software being disabled

Some attackers even configure XMRig to stop mining whenever a user opens Task Manager, making detection more difficult.

Business Impact

Although cryptojacking usually does not encrypt files like ransomware, it can still cause significant operational issues.

Potential consequences include:

Reduced Productivity

Employees experience slower computers, affecting daily work.

Higher Operating Costs

Mining consumes CPU resources and electricity around the clock.

Hardware Wear

Continuous high CPU usage can shorten the lifespan of processors, cooling systems, and power supplies.

Security Risks

An XMRig infection often indicates that attackers already have unauthorised access to the network, meaning sensitive business data may also be at risk.

How Organisations Can Protect Themselves

Preventing cryptojacking requires multiple layers of security.

Keep Systems Updated

Install security updates for Windows, Linux, browsers, and all business software as soon as practical.

Use Endpoint Protection

Modern antivirus and endpoint detection solutions can identify suspicious mining behaviour before it becomes widespread.

Enable Multi-Factor Authentication

Protect administrator accounts and remote access services with MFA wherever possible.

Monitor CPU Usage

Investigate unexplained spikes in processor utilisation, especially outside business hours.

Restrict Administrative Privileges

Limit local administrator permissions to reduce the impact of compromised accounts.

Educate Employees

Regular cybersecurity awareness training helps staff recognise phishing emails and other social engineering attacks.

Is XMRig Dangerous?

The software itself is completely legitimate.

The danger comes from unauthorised installation and misuse by attackers.

Many security vendors detect unauthorised XMRig deployments because they are commonly associated with cryptojacking campaigns rather than because the software itself is malicious.

Best Practices for IT Teams

Organisations should adopt a proactive security strategy by:

• Regularly auditing endpoints
• Monitoring unusual network connections
• Reviewing scheduled tasks and startup entries
• Enforcing least-privilege access
• Conducting vulnerability scans
• Backing up critical business data
• Implementing continuous security monitoring

Early detection significantly reduces the financial and operational impact of mining malware.

Final Thoughts

Cryptocurrency mining software like XMRig serves legitimate purposes for individuals and organisations that choose to mine digital assets. However, when cybercriminals secretly deploy XMRig on corporate systems, it becomes part of a cryptojacking attack that wastes resources, increases costs, and may signal a broader security compromise.

Businesses should combine strong cybersecurity practices, employee awareness, regular patching, and continuous monitoring to minimise the risk of unauthorised mining software running within their networks.

By understanding how these attacks operate and responding quickly to suspicious activity, organisations can better protect their infrastructure, maintain productivity, and reduce the likelihood of future compromises.

Frequently Asked Questions

Is XMRig malware?

No. XMRig is legitimate open-source cryptocurrency mining software. It only becomes part of malicious activity when attackers install it without permission.

What cryptocurrency does XMRig mine?

It is primarily designed to mine Monero (XMR) using the RandomX algorithm.

Can antivirus detect XMRig?

Many security products detect unauthorised XMRig installations because they are commonly used in cryptojacking attacks.

How can I tell if my computer is mining cryptocurrency?

Persistent high CPU usage, overheating, increased fan noise, slow performance, and unexplained network connections can all indicate possible cryptojacking.

How to Stay Protected

XMRig Malware Campaigns Target Businesses

Cybersecurity threats continue to evolve, and one of the most persistent threats facing businesses today involves cybercriminals abusing the popular XMRig mining software. While XMRig is a legitimate, open-source cryptocurrency miner used by many enthusiasts to mine Monero (XMR), attackers frequently modify or secretly install it on corporate computers to generate profits without the owner’s knowledge.

In this article, we’ll explain how XMRig is being misused in corporate environments, the risks to businesses, how these attacks work, and the best practices to prevent them.

What Is XMRig?

XMRig is a free and open-source CPU and GPU miner designed primarily for mining Monero (XMR). It is widely respected within the cryptocurrency community because it is efficient, actively maintained, and available for Windows, Linux, and macOS.

By itself, XMRig is not malware. However, cybercriminals often bundle modified versions of XMRig with malicious software or deploy it after compromising a computer.

Why Are Businesses Being Targeted?

Corporate environments provide an attractive opportunity for attackers because they often contain:

• High-performance desktop computers
• Powerful servers
• Multiple workstations
• Cloud infrastructure
• Continuous internet connectivity

Instead of mining cryptocurrency on their own hardware, attackers infect company devices and secretly use the organisation’s computing power.

The result is free cryptocurrency mining at the company’s expense.

How XMRig Malware Gets Installed

Most unauthorised XMRig installations begin after another security weakness has already been exploited.

Common infection methods include:

• Phishing emails containing malicious attachments
• Fake software downloads
• Exploitation of unpatched vulnerabilities
• Weak Remote Desktop Protocol (RDP) passwords
• Stolen administrator credentials
• Trojan malware that downloads additional payloads

Once attackers gain access, they silently install XMRig and configure it to connect to their own mining pools.

Warning Signs of an XMRig Infection

Many organisations discover mining malware only after performance problems become noticeable.

Common symptoms include:

• Constantly high CPU usage
• Increased electricity consumption
• Slow computers
• Loud cooling fans
• Servers running hotter than normal
• Unknown scheduled tasks
• Unexpected outbound network traffic
• Security software being disabled

Some attackers even configure XMRig to stop mining whenever a user opens Task Manager, making detection more difficult.

Business Impact

Although cryptojacking usually does not encrypt files like ransomware, it can still cause significant operational issues.

Potential consequences include:

Reduced Productivity

Employees experience slower computers, affecting daily work.

Higher Operating Costs

Mining consumes CPU resources and electricity around the clock.

Hardware Wear

Continuous high CPU usage can shorten the lifespan of processors, cooling systems, and power supplies.

Security Risks

An XMRig infection often indicates that attackers already have unauthorised access to the network, meaning sensitive business data may also be at risk.

How Organisations Can Protect Themselves

Preventing cryptojacking requires multiple layers of security.

Keep Systems Updated

Install security updates for Windows, Linux, browsers, and all business software as soon as practical.

Use Endpoint Protection

Modern antivirus and endpoint detection solutions can identify suspicious mining behaviour before it becomes widespread.

Enable Multi-Factor Authentication

Protect administrator accounts and remote access services with MFA wherever possible.

Monitor CPU Usage

Investigate unexplained spikes in processor utilisation, especially outside business hours.

Restrict Administrative Privileges

Limit local administrator permissions to reduce the impact of compromised accounts.

Educate Employees

Regular cybersecurity awareness training helps staff recognise phishing emails and other social engineering attacks.

Is XMRig Dangerous?

The software itself is completely legitimate.

The danger comes from unauthorised installation and misuse by attackers.

Many security vendors detect unauthorised XMRig deployments because they are commonly associated with cryptojacking campaigns rather than because the software itself is malicious.

Best Practices for IT Teams

Organisations should adopt a proactive security strategy by:

• Regularly auditing endpoints
• Monitoring unusual network connections
• Reviewing scheduled tasks and startup entries
• Enforcing least-privilege access
• Conducting vulnerability scans
• Backing up critical business data
• Implementing continuous security monitoring

Early detection significantly reduces the financial and operational impact of mining malware.

Final Thoughts

Cryptocurrency mining software like XMRig serves legitimate purposes for individuals and organisations that choose to mine digital assets. However, when cybercriminals secretly deploy XMRig on corporate systems, it becomes part of a cryptojacking attack that wastes resources, increases costs, and may signal a broader security compromise.

Businesses should combine strong cybersecurity practices, employee awareness, regular patching, and continuous monitoring to minimise the risk of unauthorised mining software running within their networks.

By understanding how these attacks operate and responding quickly to suspicious activity, organisations can better protect their infrastructure, maintain productivity, and reduce the likelihood of future compromises.

Frequently Asked Questions

Is XMRig malware?

No. XMRig is legitimate open-source cryptocurrency mining software. It only becomes part of malicious activity when attackers install it without permission.

What cryptocurrency does XMRig mine?

It is primarily designed to mine Monero (XMR) using the RandomX algorithm.

Can antivirus detect XMRig?

Many security products detect unauthorised XMRig installations because they are commonly used in cryptojacking attacks.

How can I tell if my computer is mining cryptocurrency?

Persistent high CPU usage, overheating, increased fan noise, slow performance, and unexplained network connections can all indicate possible cryptojacking.

Learn the network security best practices that protect multi-site businesses with segmentation, zero trust, firewalls, secure remote access, and monitoring. https://hackernoon.com/how-to-secure-a-multi-site-business-network-against-modern-cyber-threats #networksecurity

Learn the network security best practices that protect multi-site businesses with segmentation, zero trust, firewalls, secure remote access, and monitoring. https://hackernoon.com/how-to-secure-a-multi-site-business-network-against-modern-cyber-threats #networksecurity

⚠️ Still running WPA3 Personal Transition Mode?

📶 It supports legacy devices—but also keeps WPA2-era risk in play. Review segmentation, PMF, and legacy client access before calling your Wi-Fi secure.

👉 https://7asecurity.com/blog/2026/07/wpa3-transition-security-risk/

#NetworkSecurity #WPA3 #CyberSecurity

Stop Guessing, Start Measuring: The Cold Math of the Passphrase Transition

1,644 words, 9 minutes read time.

The Structural Collapse of the Legacy Password

The traditional eight-character alphanumeric password is a broken line of defense that offers nothing more than a false sense of security. For decades, users have been instructed to construct complex strings filled with uppercase letters, numbers, and obscure symbols, under the mistaken belief that this fragmentation creates an impenetrable barrier. The contemporary threat landscape has rendered these legacy methodologies entirely obsolete, as attackers no longer rely on manual guessing but on automated, high-velocity cryptographic assaults that exploit the inherent predictability of human patterns. To survive in this environment, enterprise architecture must shift toward the passphrase, a credential strategy rooted in length rather than fragmented complexity. This analytical deep dive will demonstrate that information entropy heavily favors length over a constrained character pool, proving that longer strings fundamentally break the mathematical models used by modern cracking tools. Furthermore, an examination of hardware acceleration will reveal how easily graphics processing units dismantle complex but short passwords through sheer processing volume. The analysis will also expose the human failure point, showing how predictable character substitutions actually aid automated dictionary attacks rather than hindering them. Finally, this post will outline the institutional shift led by regulatory frameworks that officially mandates the transition to high-entropy passphrases as a baseline security requirement.

Why Entropy Defeats Arbitrary Complexity

The security of any credential rests entirely on its mathematical entropy, which measures the total number of possible combinations an attacker must search through to guarantee a successful breach. Legacy security policies focused intensely on expanding the character pool by forcing users to mix uppercase letters, lowercase letters, numbers, and symbols, assuming this diversity would stall an attack. This logic fails because the total search space scales linearly when adding character types, but scales exponentially when increasing the overall length of the string. An eight-character password drawing from an expanded pool of ninety-four possible characters yields a search space that modern computing clusters can exhaust in a matter of hours. Conversely, a twenty-character passphrase composed exclusively of standard lowercase letters draws from a smaller pool of twenty-six characters, yet its sheer length creates a computational search space that is astronomically larger. The exponential power of length completely dwarfs the linear additions of complexity, making the long string mathematically superior in every measurable metric. Security is a game of resource depletion, and forcing an attacker to calculate permutations across a massive length consumes their time and computational power far more effectively than a short, complex puzzle. Relying on symbols to protect a short credential is a fundamental misunderstanding of cryptographic reality.

How Modern Computing Power Obliterates Standard Credentials

The rise of massive hardware acceleration has turned password cracking into an industrialized, automated process that operates at a scale most organizations fail to comprehend. Modern threat actors do not target live login portals where rate-limiting defenses exist; they exfiltrate hashed credential databases and conduct offline attacks using specialized graphics processing unit clusters. A single consumer-grade graphics card can execute billions of cryptographic hash calculations every second, and when multiple cards are parallelized, the throughput becomes devastatingly efficient. Legacy hashing algorithms that were once considered robust offer minimal resistance against this level of raw processing power when the target credential is short. A complex, eight-character password is reduced to a minor computational speed bump when confronted by an array capable of cycling through trillions of permutations in a single afternoon. Passphrases alter this dynamic entirely by forcing the attack automation to scale up its calculations to a point that becomes financially and logistically unviable for the adversary. When a credential possesses sufficient length, the time required to exhaust the mathematical possibilities extends from hours into decades, effectively neutralizing the advantage of hardware acceleration. Organizations that continue to permit short, complex credentials are explicitly ignoring the reality of modern computing capability and leaving their infrastructure vulnerable to rapid automated compromise.

The Illusion of Security in Character Substitution

Human psychology is inherently predictable, and when users are forced to create complex strings that defy natural memory retention, they invariably take shortcuts that automated attack tools are specifically designed to exploit. The common practice of replacing a letter with a lookalike number or symbol does not create randomness; it merely creates a predictable pattern that mirrors basic human behavior. Automated dictionary attacks do not guess randomly across the entire character space from the first second; they utilize highly sophisticated rule sets that automatically apply common substitutions to known words. This means an obfuscated password is often broken just as quickly as its plain-text counterpart because the underlying structure remains entirely unoriginal. Furthermore, forcing users to memorize these fragmented, unnatural strings leads directly to credential reuse across multiple platforms, creating a systemic risk where a single third-party breach compromises the entire enterprise. Passphrases solve this fundamental human vulnerability by leveraging words arranged in a sequence that is easy for a human to remember but entirely disjointed to an algorithm. By aligning credential policy with the way the human brain naturally retains information, organizations eliminate the need for dangerous substitutions and drastic reuse, creating a security model that functions in reality rather than only on paper.

Aligning Enterprise Standards with High-Entropy Passphrases

The transition from short, complex passwords to long passphrases is no longer a matter of structural debate; it is a formalized directive established by major global cybersecurity frameworks. The National Institute of Standards and Technology explicitly overhauled its digital identity guidelines to eliminate the legacy requirements for arbitrary character complexity and forced periodic expiration. Modern compliance frameworks recognize that frequent password changes and complex character mandates directly degrade security by encouraging predictable patterns and user fatigue. The updated standards heavily prioritize credential length, explicitly advising organizations to configure their identity providers to accept long strings while screening out known compromised entries. Implementing this architecture requires a deliberate reconfiguration of active directory environments, single sign-on platforms, and enterprise identity management systems to support minimum lengths of at least fifteen to twenty characters. Legacy applications that artificially restrict input length must be systematically updated or replaced, as they represent a critical vulnerability that prevents the enforcement of modern entropy standards. Failing to align enterprise architecture with these updated frameworks is a failure of technical oversight that leaves an organization legally and operationally exposed when a breach occurs.

The Definite Verdict on Credential Architecture

The data dictates a clear and uncompromising conclusion regarding enterprise credential policy. The legacy framework of short, complex passwords has utterly failed to withstand the realities of modern computing power, automated attack methodologies, and predictable human psychology. Information entropy proves that string length is the primary factor in resisting cryptographic attacks, while hardware acceleration has turned the cracking of short credentials into a trivial task. Human-generated substitutions offer zero protection against sophisticated dictionary rule sets, serving only to complicate user experience while leaving the underlying data vulnerable to exploitation. True security requires a complete rejection of outdated complexity mandates in favor of long, high-entropy passphrases that leverage exponential mathematical growth to exhaust attacker resources. Enterprise infrastructure must adapt immediately to these established standards to mitigate the threat of automated compromise and align with modern regulatory frameworks.

Enterprise identity architecture must be updated to enforce minimum lengths of fifteen to twenty characters to resist automated exploitation.

Information entropy mathematically favors credential length over character set complexity, creating exponentially larger search spaces.

Modern graphics processing unit clusters can rapidly exhaust short, complex credentials through high-velocity offline cracking.

Predictable human character substitutions fail to deceive modern automated dictionary attacks and encourage dangerous credential reuse.

Global security frameworks have officially shifted toward prioritizing length and eliminating arbitrary complexity mandates.

Audit Your Network: Secure Your Enterprise Infrastructure With High-Entropy Passphrases

Stop relying on an obsolete defense strategy that invites catastrophe. Audit your identity providers immediately, systematically dismantle the arbitrary complexity rules that compromise your user base, and configure your active directory to enforce a strict minimum threshold of fifteen or more characters. The transition to high-entropy passphrases is not an operational preference; it is an immediate cryptographic necessity to shield your enterprise from automated exploitation.

D. Bryan King

Sources

• NIST Special Publication 800-63B: Digital Identity Guidelines – Authentication and Lifecycle Management
• CISA: Protecting Against Brute Force Attacks
• CISA: Cyber Threats and Advisory Library
• MITRE ATT&CK: Brute Force Techniques (T1110)
• MITRE ATT&CK: Password Cracking (T1110.002)
• MITRE ATT&CK: Password Spraying (T1110.003)
• MITRE ATT&CK: Password Guessing (T1110.001)
• MITRE ATT&CK: Credential Stuffing (T1110.004)
• MITRE ATT&CK: Credentials from Password Stores (T1555)
• IEEE Xplore: Computational Metrics of Password Entropy
• IEEE Xplore: Analysis of Password Cracking Dynamics Using GPUs
• IEEE Xplore: Human Behavior Patterns in Alphanumeric Character Substitutions
• IEEE Xplore: Performance Optimization of Offline Dictionary Attacks
• OWASP: Password Creation Requirements Control Guidelines
• OWASP Top 10: Identification and Authentication Failures
• OWASP: Comprehensive Guide to Brute Force Attacks
• OWASP: Mechanics of Automated Credential Stuffing
• SANS Institute: The Mathematics of Length vs. Complexity
• SANS Institute: Defending Against Modern GPU Password Cracking Clusters
• SANS Institute: Rethinking Enterprise Password Expiration Policies
• SANS Institute: Implementation Strategies for High-Entropy Passphrases
• ENISA: Guidelines for Secure Password and Authentication Schemes
• Australian Cyber Security Centre (ACSC): Password Governance and Policies
• UK National Cyber Security Centre (NCSC): Password Policy Re-thought
• UK NCSC: Using Three Random Words for Strong Passphrases
• NIST Computer Security Resource Center: SP 800-63B Structural Reference
• BSI Germany: IT-Grundschutz Standards for Authentication
• ACM Digital Library: Analysis of Leaked Password Datasets and Substitution Rules
• ACM Digital Library: Guessing Human Passwords via Probabilistic Context-Free Grammars
• ACM Digital Library: The Security of Length-Based Passphrase Configurations
• ISO/IEC 27002: Information Security, Cybersecurity, and Privacy Protection Controls
• PCI DSS: Document Library for Identity and Access

Disclaimer:

The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

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Looking like #patchTuesday broke #nfs in #wsl for July 15, 2026

No #NSA security warning yet, over the patch, so we got that going for us 👍️

#Win11, #Windows, #NFS, #WSL, #PatchTuesday, #WSL2, #KernelUpdate, #SyscallRejection, #VMP, #NetworkSecurity, #AccessDenied, #KernelDesync, #Microsoft, #TechIssues, #Regression

Suricata produces rich network telemetry, alerts, anomalies, flow data, DNS, TLS, SSH, Kerberos, and more, but raw EVE JSON isn't investigation ready on its own.

The Suricata IDS/IPS Content Pack for Graylog parses, enriches, and maps that data to the Graylog Information Model, with a dashboard built in. Setup covers Filebeat via Sidecar or syslog forwarding.
Full breakdown here: https://graylog.org/post/suricata-ids-ips-data-in-graylog/
#Graylog #Suricata #SIEM #ThreatHunting #InfoSec #NetworkSecurity

Suricata produces rich network telemetry, alerts, anomalies, flow data, DNS, TLS, SSH, Kerberos, and more, but raw EVE JSON isn't investigation ready on its own.

The Suricata IDS/IPS Content Pack for Graylog parses, enriches, and maps that data to the Graylog Information Model, with a dashboard built in. Setup covers Filebeat via Sidecar or syslog forwarding.
Full breakdown here: https://graylog.org/post/suricata-ids-ips-data-in-graylog/
#Graylog #Suricata #SIEM #ThreatHunting #InfoSec #NetworkSecurity

TFTP Honey Pot Results

https://bruceediger.com/posts/tftp-honeypot-results/

Comments: https://news.ycombinator.com/item?id=48897329

#HackerNews #TFTP #Honey #Pot #Results #cybersecurity #honeypot #networksecurity #dataanalysis #technews

TFTP Honey Pot Results

https://bruceediger.com/posts/tftp-honeypot-results/

Comments: https://news.ycombinator.com/item?id=48897329

#HackerNews #TFTP #Honey #Pot #Results #cybersecurity #honeypot #networksecurity #dataanalysis #technews