The Black Hat Community Operations Heart (NOC) gives a high-security, high-availability community in one of the demanding environments on this planet: the Black Hat occasion.
The NOC companions are chosen by Black Hat, with Arista, Cisco, Corelight, Lumen, NetWitness and Palo Alto Networks delivering from Las Vegas this 12 months. Cisco is the official Area Identify Service, Malware Evaluation and Cell Machine Administration supplier. The Meraki group is writing a weblog in regards to the experiences in defending and managing the Black Hat cell units.
The companions additionally present built-in safety, visibility and automation: a Safety Operations Heart (SOC) contained in the NOC, with Grifter ‘Niel Wyler’ and Bart Stump because the leaders.

Integration is vital to success within the SOC of the NOC. At every convention, we’ve got a hack-a-thon to create, show, take a look at, enhance and eventually put into manufacturing new or improved integrations. To be a NOC accomplice, you have to be prepared to collaborate, share Automated Programming Interface (API) keys and documentation, and are available collectively (whilst market rivals) to safe the convention for the great of the attendees.

XDR integrations
Cisco joined the Black Hat NOC in 2016, when requested to supply automated malware evaluation with Risk Grid. The Cisco contributions to the community and safety operations advanced, with the wants of the client, to incorporate extra parts of the Cisco Safety Cloud:
The NOC leaders allowed Cisco (and the opposite NOC companions) to herald extra software program to make our inner work extra environment friendly and have larger visibility. Nonetheless, Cisco will not be the official supplier for Prolonged Detection & Response (XDR), Community Detection & Response or Collaboration.
- Cisco XDR: Community Visitors Visibility and Risk Detection/Risk Looking/Risk Intelligence Enrichment/Government Dashboards/Automation
- Cisco Webex: Incident notification and group collaboration
The Cisco XDR command middle dashboard tiles made it straightforward to see the standing of every of the related Cisco Safety applied sciences, the general risk panorama and the standing of community availability as monitored by ThousandEyes brokers.
Beneath are the Cisco XDR integrations for Black Hat USA, empowering analysts to analyze Indicators of Compromise (IOC) in a short time, with one search. We respect alphaMountain.ai, Pulsedive and Recorded Future donating full licenses to the Black Hat USA 2024 NOC. Additionally, try the weblog on XDR turning one 12 months outdated and the affect of Black Hat occasions.
One of many new integrations this 12 months was with a utility written by certainly one of our SOC group members. Each safety skilled — particularly SOC analysts and responders — have a sequence of “fast lookup” type instruments that they use to reply numerous questions on artifacts in an investigation. Shodan is a superb instance; “given an IP deal with, what providers is that IP offering, and what software program are they utilizing to supply it?”. Paste the IP into Shodan, and you’ll doubtless get your reply. With the Shodan integration in XDR, you don’t even have to repeat and paste — simply click on the IP after which within the drop down menu, click on the Shodan hyperlink. However there are a whole lot of such instruments…

Ben took one of many integration server templates that Cisco Safety revealed on Github and modified it to our wants. He then hosted it on his cloud supplier of alternative, added it to our XDR configuration and will add these easy pivots to XDR on the fly. A easy edit of a textual content file on the server and we may leap from any observable to any new related reference web site that anybody had prompt.
Cisco XDR is constructed on the beliefs of an open integration framework, with revealed knowledge fashions, API specs and pattern code accessible to be modified or used as examples/tutorials (together with precise tutorials at DevNet). This dedication to extensibility permits for modifications such because the above with out requiring any motion from the XDR growth or product groups, permitting prospects to tailor XDR to their distinctive wants.
For instance, an IP tried
Investigation of the IP confirmed: It was recognized malicious.

Additionally, the geo location is in RU and recognized affiliated domains. With this data, the NOC management authorized the shunning of the IP.

XDR: Asset visibility
By: Ben Greenbaum

Because the Black Hat community evolves, completely different distributors are given alternatives to carry their merchandise into the toolbox. On account of this ongoing biking, we didn’t have entry to the depth of intelligence beforehand offered by deployment of a Meraki wi-fi infrastructure. Nonetheless, because of the functionality constructed into XDR Asset Insights to add a customized CSV file of belongings, we have been capable of simply operationalize recognized community topography into investigative and response operations.
One of many distinctive challenges of the Black Hat surroundings is how completely different it’s from a “regular” buyer’s manufacturing community. We’ve just a few hundred units whose safety is our main objective, however tens of hundreds of unmanaged (and sometimes hostile) units within the native community which we need to shield from one another and shield the surface world from. This distinctive association very a lot drives residence the worth that an EDR brings to an XDR resolution. With out good endpoint visibility, the problem is way larger. The advantage of an open XDR method that isn’t an evolution of an current EDR providing is that it may be certainly one of a number of EDRs, however “one” is preferable to none.
Malware Analytics
By: Ben Greenbaum
Cisco Malware Analytics (previously Risk Grid) was once more used because the backend file evaluation and malware detection engine. We supported our companions from CoreLight and Netwitness, with evaluation of recordsdata pulled from clear textual content (convention attendee) and choose encrypted classes (vital infrastructure).

As traditional, the recordsdata present in clear textual content communications have been indicator of what varieties of data might be anticipated to be leaked by a crowd of safety professionals, and this 12 months the end result rated a strong “much less terrible.” Probably spicy content material included numerous PII (names, employers, positions, electronic mail addresses, and so on.) from Black Hat receipts and some company electronic mail attachments.
And whereas Umbrella did alert us to some wandering infections phoning residence, we will say that a minimum of no malware was transferred…within the clear.
By: Aditya Sankar
Cisco XDR features a built-in automation functionality referred to as XDR automation. You probably have heard of Safety Orchestration Automation Response (SOAR), Cisco XDR has the complete suite of SOAR options. That features the flexibility to drag-and-drop prebuilt code blocks in a specific sequence to create a customized workflow, executing arbitrary API calls to function one-click response actions and creating guidelines to set off workflows based mostly off a schedule or another standards.
We’ve been utilizing XDR Automate at Black Hat for 3 years to enhance the Cisco providers to our joint buyer, Black Hat, and have applied quite a lot of use instances. Nonetheless, this has sometimes required fairly a little bit of time to study APIs and create a totally customized workflow. With the most recent XDR Automation Trade, the Trade web page is used to seek out, view, set up and uninstall pre-written workflows which were launched or authorized by Cisco engineers and content material suppliers. Workflows authored by the neighborhood have handed a primary high quality test and are supported by the Cisco DevNet Neighborhood on a best-effort foundation. The Exchanges helps allow collaboration between workflow creators and moreover reduces the time it takes for a person to expertise worth from XDR automation.
Shout out to Ivan Berlinson, who wrote a workflow to tug risk logs from the Palo Alto Networks API and create Incidents in Cisco XDR. Since Ivan was variety sufficient to publish the workflow to the Trade, it was extraordinarily straightforward to import the workflow and get it operational. Putting in a workflow from the trade is actually like strolling by way of a configuration wizard. It features a description of what the workflow does, the required targets and variables, in addition to a contact individual for assist. Here’s what the workflow appears to be like like within the Trade simply earlier than set up.

This workflow requires Automation distant, on-premises digital machine deployed over ESXi to make sure correct connectivity to the Palo Alto Panorama equipment. Shoutout to Matt Vander Horst who helped with the vCenter required to deploy the Automation distant equipment. The Trade prompts the person to supply values for the required variables and choose the suitable on-premises goal.

Then the workflow is put in and scheduled to run each quarter-hour by way of an automation rule.

This workflow makes use of the PAN-OS XML API to question for risk logs at this path . This kicks off a search job. As soon as the search job is finished, the workflow retrieves the outcomes and begins parsing the risk logs. A Cisco Risk Intelligence Mannequin (CTIM) sighting is created for every particular person risk log and grouped collectively by inner host IP. Subsequent, a CTIM indicator with the outline of the risk log and a relationship to the corresponding sighting are each created. Lastly, an incident bundle is created with the sighting, relationship and indicator entities and posted to the XDR API. The workflow has logic in-built to test for duplicate incidents and current indicators.

Here’s what one of many incidents that was created from this automation workflow appears to be like like in Cisco XDR. This gave us as analysts within the SOC an excellent place to begin for an investigation.

These Palo Alto Community risk logs point out a listing traversal assault that goals to entry recordsdata and directories which are saved exterior the net root folder. PAN Firewall alerts on listing traversal and accessing from supply IP 192.168.130.86 on basic attendee Wi-Fi to vacation spot IP <104[.]198.XXX.2XX>, which resolves to < yXXXXis[.]occasion>. This area is marked as suspicious by a number of risk intelligence sources and has a medium danger rating of 72 in Cisco Umbrella. The host then proceeded to obtain recordsdata from


The vacation spot IP reveals unknown with XDR risk intelligence, however the area it resolves to appears to be suspicious and it’s hosted within the Russian Federation, as seen within the Umbrella console. Listed here are extra particulars offered by the Corelight group in our energetic Risk Looking Slack chanel: HTTP POST exercise to the vacation spot in query reveals a primary authentication token that decodes to


We did discover the host making related queries like
Ivan Berlison additionally offered one other workflow to provide an XDR Incident when a file is convicted in Cisco Safe Malware analytics. Corelight, in addition to NetWitness, carve recordsdata off the community and submit them to be detonated in Safe Malware Analytics. Here’s what the XDR incident appears to be like like when a file with a risk rating above 90 is seen:

We had a beautiful time innovating and investigating at Black Hat USA 2024! The XDR automation trade was an enormous help in including extra automation capabilities with very minimal customized work. Take a look at AJ Shipley’s weblog on how utilizing Cisco XDR at Black Hat has accelerated our open ecosystem. We’ll be again once more subsequent 12 months, so lengthy Black Hat!
Splunk Assault Analyzer (SAA)
By: Ryan MacLennan
Splunk Assault Analyzer (SAA) is a brand new addition to our deployment. As it’s possible you’ll know, Cisco acquired Splunk this 12 months. Due to this new acquisition we labored with our counterparts in Splunk to get their SAA product provisioned for our use at Black Hat. SAA is a file and URL evaluation platform just like Safe Malware Analytics. SAA makes use of a classy set of standards to find out which engine could be finest fitted to evaluation — like internet analyzer, static file evaluation, electronic mail analyzer, signature engines and/or the sandbox. Whereas the product is able to dynamic and static evaluation, we selected to do solely static evaluation for our use at Black Hat.
What is really highly effective in regards to the evaluation of SAA is its assault chain following functionality: The power to intelligently decide how a human would click on on gadgets in a webpage. It’ll comply with hyperlinks, obtain recordsdata and analyze extra indicators from community connections, recognized malicious recordsdata, an unknown malicious file that’s analyzed on the fly, phishing domains and extra. It’ll comply with a logical movement like a human to find out the trail to compromise. This was attention-grabbing to see in the environment because it confirmed the trail from a file, the hyperlinks present in it, to completely different web sites, and every step of the trail had a screenshot for us to comply with alongside.
For example, we’ve got a PDF that was submitted to SAA. It discovered hyperlinks within the file and adopted them to see if they’d result in one thing malicious. I’ve blocked out many of the URLs, however we will see the way it went by way of the PDF knowledge and clicked on the hyperlinks to seek out out the place it will go.

After SAA did its factor, we may take a look at the file in query and the screenshots that it took. We discovered that this file was the information utilized in a coaching room and every hyperlink was a reference to an article, a coaching useful resource (self-hosted and official), or different informational sources a pupil may have.
We have been in a position so as to add this integration with the assistance of our accomplice Corelight. We talked to them on day one and so they have been excited to get a brand new integration developed with SAA. A number of hours later, we had an integration with them. This was a tremendous instance of how all of us come collectively to make the NOC higher at Black Hat yearly.
Umbrella DNS
By: Christian Clasen and Justin Murphy
You probably have learn the earlier Black Hat NOC/SOC stories, you understand that in 2023, we made a change to the DNS design. In prior conferences, we assigned inner forwarders to purchasers by way of DHCP, however didn’t drive their use. Basically, attendees may use any DNS resolvers they selected, and we didn’t intervene. The change we applied was to start forcibly redirecting DNS site visitors to the on-premises DNS forwarders. You may see within the statistics above that this modification brought on a major leap in queries processed by Cisco Umbrella — from 54.4 million to 79.3 million.
The steep improve in question depend was not surprising. What was surprising, nevertheless, was a lower in question depend between 2023 and 2024. Whereas we don’t know the exact explanation for this drop, we do have some theories and methods we will take a look at them going ahead.
One doable rationalization is the prevalence of encrypted DNS protocols. Lately, the business has turned its consideration to the privateness, integrity and authenticity issues inherent within the plain-text DNS protocol. To unravel a few of these points, “last-mile” encryption has develop into a favourite of OS and browser distributors. DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT) are solely a few the preferred methods to encrypt DNS between the consumer and the recursive resolver.
Detecting all encrypted DNS might be troublesome and counting the queries unattainable. It is because TCP is the chosen transport for DoH and DoT, and this permits the consumer to pipeline a number of queries over one long-lived TCP and TLS session. However what we will usually discover are the “bootstrap” plain-text DNS queries that allow to consumer to seek out the encrypted DNS server. By working a report in Umbrella for the class “DoH and DoT”, we will get a deal with on the preferred of those providers:

The entry for
On this report, we additionally see “canary” domains comparable to
Going ahead, we are going to observe the statistics of those protocols on the convention networks and see what different data we will collect utilizing the complete packet seize capabilities of our companions and the risk looking capabilities of Cisco XDR. You may anticipate this subject to be expanded on within the subsequent convention report.
One of many main causes to a minimum of monitor DNS is to grasp traits and the way the community at Black Hat is getting used from a excessive degree. There are lots of insights that may be gained from forcing DNS by way of a centralized service with intelligence. DNS queries exist for locations that host all the things from Malware, Crypto Mining and Phishing to content material classes like Social Media, Finance and Unlawful Actions. Moreover, these domains might be categorized into particular purposes as effectively. With the App Discovery report in Umbrella, these domains are grouped by utility, figuring out the potential use of hundreds of purposes. This might be internet apps or different desktop/cell apps.
As all the time, we proceed to see an increase in app utilization at Black Hat:
- BHUSA 2019: ~3,600
- BHUSA 2021: ~2,600
- BHUSA 2022: ~6,300
- BHUSA 2023: ~7,500
- BHUSA 2024: ~9,300

This 12 months there was one stand out Software Class that has been rising in recognition: Generative AI. It’ll doubtless be no shock that there are extra attendees and their instruments utilizing Generative AI. We’ve gone from seeing it as a footnote in logs to reporting it at RSAC 2024, as we noticed 80 completely different Generative AI instruments getting used.
Examine this to Black Hat 2024, only a few months later, the place the whole quantity has jumped to 194.

This doesn’t seem like only a distinction in conferences, however moderately a rising pattern and acceptance of those instruments.
Community Assurance
By: Adam Kilgore, Shimei Cridlig, Shannon Wellington and Justin Murphy
The ThousandEyes deployment launched at Black Hat USA 2023 one 12 months in the past. At that convention, we spent many lengthy shifts growing the configurations, design, and procedures that shaped the premise for our convention protection. The deployment was additional improved and streamlined at Black Hat London and Black Hat Asia. At this 12 months’s Black Hat USA 2024, we have been able to increase our protection considerably whereas persevering with to refine our procedures.
New {hardware}
We added 20 Orange Pi units at Black Hat 2024, along with the 8 Raspberry Pi units we deployed in 2023. We’re nonetheless effectively in need of the proverbial thousand eyes, however 28 is much more than 8. We deployed our new fleet of Orange Pi units to observe the wi-fi community, whereas the outdated Raspberry Pi units have been used for wired monitoring of Registration, the NOC and core community units.
Orange Pi configuration

Mike Spicer put in numerous time to develop new configuration and deployment procedures for the Orange Pi units earlier than the convention. We have been in a position to make use of a script and a small native community to configure every Orange Pi with a selected SSID and PSK. As soon as the Pi units have been configured and the goal entry factors have been deployed, every Pi was walked to its goal coaching room the place it will robotically connect with the entry level (AP) on bootup and start working its scheduled monitoring checks.
Even with the scripting and automation, the configuration stage nonetheless resulted in a mass of wires (pictured above). Deploying the Pi units resulted in additional strolling than the typical attendee would expertise in a convention (not pictured).
Expanded wi-fi protection

With the extra brokers, we have been capable of deploy to extra Black Hat coaching rooms. The expanded visibility allowed us to catch extra issues earlier than the coaching rooms went reside, together with a misconfigured PSK, an SSID that wasn’t broadcasting and an SSID that broadcast however didn’t have web connectivity. We’d like to have an agent for every coaching room for full visibility and validation heading into the convention, however we’re pleased with what we caught and the extra confidence the brokers offered heading into the coaching days.
Because the convention shifted from trainings to the briefing days, we shifted our protection from the most important coaching classes to massive briefing rooms and heavy-traffic areas like the doorway and Enterprise Corridor. Whereas we nonetheless needed to make robust strategic choices about what to cowl and what to not cowl, we have been nonetheless capable of unfold brokers throughout every ground for basic visibility.
Troubleshooting
Our experiences over the previous three conferences had produced well-established troubleshooting procedures and paperwork for the Raspberry Pi units, however the Orange Pi devicess introduced contemporary challenges. We had round 25% of our deployed Orange Pi units require troubleshooting throughout the first 24 hours after deployment, a regarding price. Log evaluation revealed the wi-fi NIC turning into disconnected and the USB coming into a disconnect loop (the wi-fi NIC is related by way of USB on the Orange Pi units). The issues with the wi-fi NIC and USB result in a recurring ThousandEyes agent core recordsdata — a troublesome set of issues.
Nonetheless, these points turned out to be remoted moderately than widespread, and by the tip of the convention we had a full wi-fi deployment that was staying up all day and in a single day as effectively. For what turned out to be remoted wi-fi issues, we developed troubleshooting procedures and documentation.
Automated ticketing
A brand new ticketing system was rolled out at this convention that may create tickets in Slack based mostly on ThousandEyes knowledge or reported points. Beneath is a ticket created based mostly on TE alerts for a selected convention room throughout the first morning of briefings.

The dashboards in ThousandEyes allowed us to supply fast visible data that confirmed which convention rooms have been experiencing the worst latency, alongside a comparability of latency throughout reporting rooms.

The automated stories behind every dashboard entry offered extra granular data, together with site visitors path and the latency alongside every leg within the site visitors path.

The brand new ticketing system allowed screenshots like those above to be aggregated within the ticket for group communication and report retaining.
Troubleshooting WorkflowOn 08/06/2024 at 15:00, we noticed excessive latency to our Inner Umbrella DNS take a look at from the South Seas D Hallway and Enterprise Corridor Brokers. Word that the hyperlinks to the investigation views are offered as hyperlinks.

To slender down the view, we used a dashboard filter to deal with the 2 Brokers.

This confirmed the excessive latency noticed by the 2 Brokers prolonged throughout a number of checks.

From right here, we drilled down on every take a look at to test the person take a look at outcomes.

Inside this view, we chosen a number of checks working on each Brokers and in contrast the outcomes.

We noticed that there was a latency spike reported by each Brokers.

To grasp the reason for the excessive latency, we drilled all the way down to Path Visualization.

We observed the excessive hyperlink delay between the Agent to its gateway. This means a difficulty both between the consumer and AP or between the AP and the server room with the router.

To substantiate the reason for the latency, we visited South Seas D. We ran extra checks to verify that the connection expertise match with the outcomes reported by the Agent. Reviewing the room and topology diagrams additional, we discovered that the AP masking South Seas D was positioned in an adjoining room, and was broadcasting two SSIDs — one for the room it was positioned in, and the opposite for South Seas D. The mixture of the AP placement, the AP servicing two rooms, and the attendee quantity in South Seas D mixed to provide the latency noticed by the Agent. These findings have been shared with the wi-fi group.
Cell machine administration at Black Hat: The function of Meraki Methods Supervisor
By: Dalton Ross
The Black Hat cybersecurity occasion in Las Vegas is famend for its cutting-edge know-how and seamless attendee expertise. A vital element of this success lies in efficient cell machine administration (MDM). Since Black Hat USA 2021, we leveraged Cisco Meraki Methods Supervisor (SM) to deal with quite a lot of duties essential to the occasion’s operations. Beneath is an in depth take a look at how the Meraki SM was deployed and the challenges confronted alongside the way in which.
Important roles of cell units at Black Hat
Cell units have been pivotal in a number of key areas:
- Registration Kiosk iPad Units (~50 Units): Used at registration kiosks to streamline the attendee check-in course of, the place attendees scan a QR code for immediate badge printing
- Session Scanning iPad Units (~75 Units): Deployed throughout Black Hat classes to scan registered attendees into every session
- Lead Retrieval Units (~800 Units): A considerable variety of units have been utilized on the present ground cubicles to swiftly accumulate sales space customer contact knowledge

Deliberate deployment for Meraki Methods Supervisor
To make sure a clean deployment, our technique included a number of key steps:
- Pre-State with Apple Automated Machine Enrollment (ADE): Earlier than cargo to the occasion location, all units have been pre-staged utilizing ADE. This allowed units to be configured with a recognized SSID for sooner deployment on web site.
- Segregated Delivery: Units have been to be shipped in three distinct groupings, every akin to one of many roles. This aimed to facilitate swift deployment upon arrival.
- Dashboard Script for Position Affiliation: A customized dashboard script was ready to leverage the Meraki Dashboard API and simply affiliate enrolled units with their respective roles.
- Automated Configuration Obtain: As soon as powered up, units have been anticipated to robotically obtain any needed configurations or apps associated to their function, making them prepared for fast deployment.
- Well being Monitoring with Cisco ThousandEyes: ThousandEyes brokers have been to be deployed all through the venue to log SM well being at completely different occasion places.
- Publish-Occasion Manufacturing facility Reset: After the occasion, all units have been to be manufacturing unit erased earlier than being returned.

Challenges and workarounds
As in life, challenges arose that required fast pondering and adaptation:
- Software Listing Modifications: A final-minute change to the appliance record for session scanning units was required. Though we initially deliberate to have all configurations prepared beforehand, this surprising change was effectively managed utilizing the Methods Supervisor with only a few clicks.
- ThousandEyes Agent Limitations: Since ThousandEyes brokers have been beta SM purchasers, they couldn’t precisely collect connectivity knowledge. This was an anticipated conduct, nevertheless it posed a problem for efficient monitoring. To beat this, NOC members from Cisco ThousandEyes and Cisco Meraki collaborated to hack collectively a proof of idea. By means of arduous work and several other iterations, we configured the ThousandEyes brokers to simulate machine check-in site visitors, mimicking legitimate SM purchasers.

Deploying Meraki Methods Supervisor at Black Hat was an intricate however rewarding endeavor. Regardless of going through challenges, our group demonstrated agility and innovation, making certain the occasion’s operations ran easily. The expertise underscored the significance of flexibility and fast drawback fixing in managing large-scale occasions.
By leveraging superior MDM options like Meraki Methods Supervisor, we have been capable of present a seamless expertise for attendees and exhibitors alike, showcasing the facility of know-how in occasion administration.
We’re happy with the collaboration of the Cisco group and the NOC companions. Black Hat Europe can be December 9-12, 2024 on the London eXcel Centre.

Acknowledgements
Thanks to the Cisco NOC group:
- Cisco Safe: Christian Clasen, Matt Vander Horst, Aditya Sankar, Ben Greenbaum, Ryan Maclennan, Adam Kilgore, Shimei Cridlig, Shannon Wellington and Justin Murphy, with distant assist by Jessica (Bair) Oppenheimer
- Meraki Methods Supervisor: Dalton Ross, with distant assist by Paul Fidler and Connor Laughlin. Search for their report on The Meraki Weblog.
Additionally, to our NOC companions:
- NetWitness (particularly Alessandro Zatti)
- Palo Alto Networks (particularly Jason Reverri and James Holland)
- Corelight (particularly Dustin Lee)
- Arista (particularly Jonathan Smith)
- Lumen and your complete Black Hat/Informa Tech employees (particularly Grifter ‘Neil Wyler,’ Bart Stump, Steve Fink, James Pope, Mike Spicer, Sandy Wenzel, Heather Williams, Jess Stafford and Steve Oldenbourg)
About Black Hat
Black Hat is the cybersecurity business’s most established and in-depth safety occasion sequence. Based in 1997, these annual, multi-day occasions present attendees with the most recent in cybersecurity analysis, growth, and traits. Pushed by the wants of the neighborhood, Black Hat occasions showcase content material straight from the neighborhood by way of Briefings shows, Trainings programs, Summits, and extra. Because the occasion sequence the place all profession ranges and tutorial disciplines convene to collaborate, community, and talk about the cybersecurity matters that matter most to them, attendees can discover Black Hat occasions in america, Canada, Europe, Center East and Africa and Asia.
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