
Sign up to save your podcasts
Or


A newly disclosed attack technique called “Underminr” allows malicious traffic to hide behind trusted CDN infrastructure, potentially bypassing DNS filtering, zero trust policies, and traditional security controls. In this episode of IT SPARC Cast – CVE of the Week, John and Lou explain how attackers abuse TLS routing and CDN tenant behavior to disguise command-and-control traffic as legitimate web traffic — and why AI-driven behavioral analysis may become the only effective defense.
⸻
📄 Show Notes
🚨 CVE of the Week: Underminr
This week’s episode focuses on Underminr, a stealthy attack technique that allows malicious traffic to hide behind trusted CDN infrastructure.
The attack abuses:
The result:
Malicious command-and-control traffic can appear to originate from trusted services such as CDN providers.
⸻
⚠️ Why This Is Dangerous
Traditional security controls often trust:
Underminr exploits that trust model.
Potential impacts include:
Because CDNs naturally move large volumes of traffic, malicious transfers can blend into legitimate content distribution activity.
⸻
🛠️ Mitigation Steps for Underminr
✅ Validate TLS and Routing Consistency
Verify that:
…all match expected destinations.
This is one of the most important defenses.
⸻
✅ Implement Deep Packet Inspection (DPI)
Traditional DNS filtering alone is no longer enough.
Use:
to identify suspicious traffic patterns.
⸻
✅ Deploy Behavioral Network Analytics
Monitor for:
Example:
A large CDN upload occurring at 3AM outside normal workflows should trigger investigation.
⸻
✅ Enforce Zero Trust Outbound Policies
Instead of trusting domains:
⸻
✅ Improve CDN Isolation Policies
CDN providers should:
⸻
🤖 AI and the Future of Network Security
John and Lou discuss how AI-assisted security analytics may become essential against attacks like Underminr.
Traditional rule-based systems struggle with:
AI-driven network analysis could help identify:
⸻
💬 Listener Feedback
Thanks to listeners Ahmed and Dennis for the feedback on last week’s Exchange vulnerability episode.
One major takeaway:
Organizations continuing to run on-prem email infrastructure are increasingly carrying significant operational and security risk.
⸻
📣 Wrap Up
Do you think traditional network trust models are finally breaking down, or can modern AI-driven security tools adapt quickly enough?
🐦 @itsparccast on X
⸻
🔗 Social Links
IT SPARC Cast
@ITSPARCCast on X
https://www.linkedin.com/company/sparc-sales/ on LinkedIn
John Barger
@john_Video on X
https://www.linkedin.com/in/johnbarger/ on LinkedIn
Lou Schmidt
@loudoggeek on X
https://www.linkedin.com/in/louis-schmidt-b102446/ on LinkedIn
Hosted on Acast. See acast.com/privacy for more information.
By John BargerA newly disclosed attack technique called “Underminr” allows malicious traffic to hide behind trusted CDN infrastructure, potentially bypassing DNS filtering, zero trust policies, and traditional security controls. In this episode of IT SPARC Cast – CVE of the Week, John and Lou explain how attackers abuse TLS routing and CDN tenant behavior to disguise command-and-control traffic as legitimate web traffic — and why AI-driven behavioral analysis may become the only effective defense.
⸻
📄 Show Notes
🚨 CVE of the Week: Underminr
This week’s episode focuses on Underminr, a stealthy attack technique that allows malicious traffic to hide behind trusted CDN infrastructure.
The attack abuses:
The result:
Malicious command-and-control traffic can appear to originate from trusted services such as CDN providers.
⸻
⚠️ Why This Is Dangerous
Traditional security controls often trust:
Underminr exploits that trust model.
Potential impacts include:
Because CDNs naturally move large volumes of traffic, malicious transfers can blend into legitimate content distribution activity.
⸻
🛠️ Mitigation Steps for Underminr
✅ Validate TLS and Routing Consistency
Verify that:
…all match expected destinations.
This is one of the most important defenses.
⸻
✅ Implement Deep Packet Inspection (DPI)
Traditional DNS filtering alone is no longer enough.
Use:
to identify suspicious traffic patterns.
⸻
✅ Deploy Behavioral Network Analytics
Monitor for:
Example:
A large CDN upload occurring at 3AM outside normal workflows should trigger investigation.
⸻
✅ Enforce Zero Trust Outbound Policies
Instead of trusting domains:
⸻
✅ Improve CDN Isolation Policies
CDN providers should:
⸻
🤖 AI and the Future of Network Security
John and Lou discuss how AI-assisted security analytics may become essential against attacks like Underminr.
Traditional rule-based systems struggle with:
AI-driven network analysis could help identify:
⸻
💬 Listener Feedback
Thanks to listeners Ahmed and Dennis for the feedback on last week’s Exchange vulnerability episode.
One major takeaway:
Organizations continuing to run on-prem email infrastructure are increasingly carrying significant operational and security risk.
⸻
📣 Wrap Up
Do you think traditional network trust models are finally breaking down, or can modern AI-driven security tools adapt quickly enough?
🐦 @itsparccast on X
⸻
🔗 Social Links
IT SPARC Cast
@ITSPARCCast on X
https://www.linkedin.com/company/sparc-sales/ on LinkedIn
John Barger
@john_Video on X
https://www.linkedin.com/in/johnbarger/ on LinkedIn
Lou Schmidt
@loudoggeek on X
https://www.linkedin.com/in/louis-schmidt-b102446/ on LinkedIn
Hosted on Acast. See acast.com/privacy for more information.