Background: The Distinctive Panorama of the Black Hat NOC
Working the Black Hat Safety and Community Operations Middle (NOC) presents a novel set of challenges and expectations. In contrast to a typical company atmosphere the place any hacking exercise is straight away deemed malicious, the Black Hat convention is a nexus for cybersecurity analysis, coaching, and moral hacking. Consequently, we anticipate and even count on a major quantity of exercise that, in different contexts, could be thought-about extremely suspicious or outright hostile. This consists of numerous types of scanning, exploitation makes an attempt, and different adversarial simulations, usually performed as a part of official trainings or unbiased analysis.
Including to this complexity is the Convey Your Personal Gadget (BYOD) nature of the convention community. Attendees join a wide selection of non-public units, making conventional endpoint telemetry (like EDR options) a major problem for complete monitoring. As such, our major focus was on strong network-based telemetry for detection and risk searching.
Overview
This writeup particulars a latest investigation inside the Black Hat Safety and Community Operations Middle (SNOC), highlighting the vital function of built-in safety instruments and early detection in mitigating potential threats, notably when originating from inside a high-profile coaching atmosphere.
On August 4, 2025, a Cisco XDR analytics alert flagged “Suspected Port Abuse: Exterior – Exterior Port Scanner.” The alert indicated an inner host from the “Defending Enterprises – 2025 Version” coaching room was actively concentrating on an exterior IP handle, which resolved to a website belonging to the Def Con cybersecurity convention. This exercise aligned with the MITRE ATT&CK framework’s Reconnaissance tactic (TA0043), particularly the Energetic Scanning method (T1595).
Investigation Workflow: A Multi-Device Strategy to Speedy Response
Section 1: Assault Triage With Cisco XDR
The Cisco XDR analytics incident supplied the preliminary alert and connection flows, providing instant visibility into the suspicious community exercise. Detecting this on the reconnaissance section is essential, as early detection within the MITRE ATT&CK chain considerably reduces the chance of an adversary progressing to extra impactful levels.
We noticed a excessive confidence incident involving two IP addresses from an inner subnet connecting with a single exterior IP handle. The related alert was labeled as a suspected port abuse by Cisco XDR.
Cisco XDR’s ‘Examine’ function then allowed us to additional drill down into and visualized the connection flows related to that exterior IP handle. It additionally searched towards a number of risk intelligence sources for any popularity related to the observables. The exterior host was not discovered to have a malicious popularity.
Section 2: Goal Identification With Cisco Umbrella
We used Cisco Umbrella (DNS resolver) to substantiate that the goal IP resolves to a single area. The area seems to be owned by Def Con and hosted in the US, by Comcast. The direct affiliation with the Def Con Cybersecurity Convention instantly raised considerations about unauthorized reconnaissance towards one other main occasion’s infrastructure.
Cisco Umbrella good search lookup of the area confirmed that the area has a low threat and is assessed below the “Hacking/Conventions” class. It was confirmed by Cisco Umbrella to belong to the Def Con conference.
Section 3: Visitors Evaluation
Analyzing the NetFlow site visitors in XDR analytics provides us an instantaneous perception that port scanning has seemingly occurred.
Pivoting into Cisco Firepower Administration Console (FMC), we ran a report of the related site visitors from the Cisco Firepower Administration Console.
The report graphed the highest 100 vacation spot ports related to the site visitors and painted a really clear image. It confirmed that the interior host was systematically scanning numerous ports on the exterior goal. Notably, we excluded widespread internet ports like 80 and 443, which helped us keep away from probably legit site visitors. Every port was scanned exactly 4 occasions, indicating a methodical, automated exercise, totally in step with a devoted port scan.


For additional validation and quantification, we then queried Palo Alto Networks firewall logs in Splunk Enterprise Safety (ES). The Splunk question confirmed 3,626 scanning occasions between 2025/08/04 17:47:07 and 2025/08/04 18:20:29.
Constant port counts additional validated automated scanning.
Section 4: Perpetrator Identification
Using our workforce’s Slack Bot API, which is built-in with Palo Alto Cortex XSIAM, we have been in a position to shortly determine the supply machine. This included its MAC handle and hostname, and we pinpointed it as working immediately from the Black Hat coaching room, particularly ‘Defending Enterprises – 2025 Version’:


Lastly, we have been in a position to seize the total PCAP of the site visitors as extra proof, utilizing our full packet seize device, Endace Imaginative and prescient. This investigation confirmed that the unauthorized scanning originated from a scholar in a coaching room. The offender was shortly recognized and instructed to stop the exercise. The incident was then closed, with continued monitoring of the coaching room and its members.
Potential Dangers Highlighted by the Incident
- Reputational Injury: Such incidents can injury the popularity of Black Hat as a premier cybersecurity occasion, eroding belief amongst members, companions, and the broader safety neighborhood.
- Facilitating illegal Exercise: Extra critically, if left unchecked, these actions might result in Black Hat infrastructure being leveraged for illegal exercise towards exterior third events, probably leading to authorized repercussions and extreme operational disruptions. Swift detection and remediation are important to uphold belief and forestall such outcomes.
Decision and Key Takeaways: Implementing Coverage and the Worth of Swift Motion
The investigation confirmed unauthorized scanning originating by a scholar. Following this, the offender was shortly recognized and made to stop the exercise. The incident was closed, with continued monitoring of the coaching room.
- The Criticality of Early Detection: This case exemplifies the worth of detecting adversarial exercise on the Reconnaissance section (TA0043) by way of methods like Energetic Scanning (T1595). By figuring out and addressing this conduct early, we prevented potential escalation to extra damaging ways towards an exterior goal.
- Built-in Tooling: The seamless integration of Cisco XDR, Cisco Umbrella, Cisco FMC, Splunk ES, Slack API integration, Endace Imaginative and prescient and Palo Alto Cortex XSIAM enabled fast detection, detailed evaluation, and exact attribution.
- Vigilance in Coaching Environments: Even in managed, instructional settings like Black Hat, steady monitoring and swift response are paramount. The dynamic nature of such environments necessitates strong safety controls to stop misuse and preserve community integrity.
- Coverage Enforcement: Clear communication and constant enforcement of community utilization insurance policies are important to handle expectations and forestall unauthorized actions, whether or not intentional or experimental.
About Black Hat
Black Hat is the cybersecurity trade’s most established and in-depth safety occasion collection. Based in 1997, these annual, multi-day occasions present attendees with the newest in cybersecurity analysis, improvement, and traits. Pushed by the wants of the neighborhood, Black Hat occasions showcase content material immediately from the neighborhood by means of Briefings displays, Trainings programs, Summits, and extra. Because the occasion collection the place all profession ranges and educational disciplines convene to collaborate, community, and focus on the cybersecurity matters that matter most to them, attendees can discover Black Hat occasions in the US, Canada, Europe, Center East and Africa, and Asia. For extra data, please go to the Black Hat web site.
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