Episode

EP 15 — Ill Tills

01 April 2018 Official episode · Official transcript

incident response

Incident responders investigate a global retail breach involving Tiny POS-derived malware on point-of-sale and back-of-house systems, encrypted output files, extensive backdoors, and stolen payment-card data.

Topics: Point-of-sale malware, Tiny POS-derived malware, Payment-card memory scraping, XOR-encrypted output files, Endpoint monitoring and analysis, Phishing as suspected initial access, Lateral movement across a flat network, Central pivot points and clearing-house systems, Backdoors and persistence, IP scanning, Historical card-data exposure in SQL server memory, Network segmentation, Incident response and digital forensics, Payment-card breach quantification and deduplication

Official episode-page sources

Links published on the Darknet Diaries episode page. Not LLM output.

No Sources heading on this episode page.

Entities (32)

Claims (21)

Qualified statements from this episode, not graph facts.

Retail credit-card breach INVOLVES Kroll

The retail company hired Kroll to investigate possible malware in its network.

Explicit Confidence 99% · Jack Rhysider EP 15 Details

“this store wanted to investigate anyways so they called a consulting firm called Kroll”

Jack Rhysider · offsets 2571–2657

Courtney Dayter MEMBER_OF Kroll

Courtney was one of the Kroll incident-response team members working on the case.

Explicit Confidence 95% · Jack Rhysider EP 15 Details

“Let’s meet two of the members of that team.”

Jack Rhysider · offsets 2837–2880

“My name’s Courtney Dayter. I’m a Senior Managing Consultant.”

Courtney Dayter · offsets 2891–2952

Matt Bromiley MEMBER_OF Kroll

Matt was part of the Kroll incident-response team during the investigation.

Explicit Confidence 95% · Jack Rhysider EP 15 Details

“Let’s meet two of the members of that team.”

Jack Rhysider · offsets 2837–2880

“My name is Matt Bromiley.”

Matt Bromiley · offsets 2959–2984

Kroll USES Carbon Black

Kroll’s incident-response team primarily used Carbon Black for endpoint monitoring and analysis across the environment.

Explicit Confidence 99% · Matt Bromiley EP 15 Details

“The tool that we use primarily is Carbon Black which is an end-point monitoring tool”

Matt Bromiley · offsets 3755–3839

Carbon Black AFFECTS Windows XP

Carbon Black was deployed broadly to systems running Windows XP and above that could support its agent.

Explicit Confidence 90% · Matt Bromiley EP 15 Details

“everything Windows XP and above”

Matt Bromiley · offsets 4450–4481

Retail credit-card breach COMPROMISES Point-of-sale registers

The breach compromised cash-register systems used to process payment cards.

Explicit Confidence 99% · Matt Bromiley EP 15 Details

“the systems that are compromised are those particular systems”

Matt Bromiley · offsets 7604–7665

“They’re the cash registers where you go buy something and you swipe your card”

Matt Bromiley · offsets 7422–7499

Retail credit-card breach INVOLVES Tiny POS

The newly uncovered card-scraping malware was described as a derivative of the Tiny POS malware family.

Explicit Confidence 96% · Matt Bromiley EP 15 Details

“it’s an unknown variant but it’s a derivative of Tiny POS”

Matt Bromiley · offsets 12460–12525

Tiny POS USES Memory scraping

The card-scraping malware scraped payment-card data from memory.

Explicit Confidence 99% · Courtney Dayter EP 15 Details

“The way that they were scraping cards were – they were scraping from memory.”

Courtney Dayter · offsets 8207–8283

Tiny POS USES XOR

The malware’s output files were encrypted using XOR.

Explicit Confidence 99% · Jack Rhysider EP 15 Details

“The output files were encrypted using XOR”

Jack Rhysider · offsets 7837–7878

Tiny POS AFFECTS Point-of-sale registers

The malware ran on point-of-sale registers and captured card data processed there.

Explicit Confidence 99% · Jack Rhysider EP 15 Details

“Malware that exists on twelve hundred computers that are cash registers”

Jack Rhysider · offsets 7673–7744

“the malware was grabbing every credit card that was swiped on that register”

Jack Rhysider · offsets 8081–8156

Tiny POS AFFECTS Back-of-house systems

The malware also ran on back-of-house systems and scraped data there.

Explicit Confidence 99% · Matt Bromiley EP 15 Details

“The other twenty percent was the back of house systems as well”

Matt Bromiley · offsets 11906–11968

“Those systems were also – also had data that was being scraped in them, too.”

Matt Bromiley · offsets 12138–12214

Tiny POS AFFECTS SQL servers

The malware captured historical unencrypted track data loaded into SQL-server memory.

Explicit Confidence 98% · Matt Bromiley EP 15 Details

“The back of house systems were running SQL servers.”

Matt Bromiley · offsets 18040–18091

“The SQL servers had historical unencrypted tracked data that was being loaded into memory and the malware was picking that up.”

Matt Bromiley · offsets 18093–18219

Tiny POS USES Data exfiltration

The malware pushed scraped data over the network to central repository or clearing-house systems.

Explicit Confidence 98% · Matt Bromiley EP 15 Details

“it pushes that data over the wire to the central repository system”

Matt Bromiley · offsets 6635–6701

“Malware was directly writing over the wire right to these systems”

Matt Bromiley · offsets 10491–10556

Retail credit-card breach INVOLVES lateral movement

After gaining network access, the attackers moved to other machines and propagated through the environment.

Explicit Confidence 98% · Jack Rhysider EP 15 Details

“When the hacker is in the network, they can move over to another machine to start setting up their malware.”

Jack Rhysider · offsets 16168–16275

Retail credit-card breach INITIAL_ACCESS_VIA phishing

Matt personally believed the attackers probably entered through a phishing message, but he presented this as uncertain rather than confirmed.

Uncertain Confidence 86% · Matt Bromiley EP 15 Details

“I think personally, they came in with a phish”

Matt Bromiley · offsets 15217–15262

“it makes me want to think it was likely a targeted approach but you never know”

Matt Bromiley · offsets 15726–15804

Retail credit-card breach INVOLVES Backdoor

The attackers installed hundreds of back doors to preserve access to systems.

Explicit Confidence 99% · Courtney Dayter EP 15 Details

“They had added 350 back doors.”

Courtney Dayter · offsets 21483–21513

“they were just allowing themselves access back in”

Courtney Dayter · offsets 21643–21692

Retail credit-card breach INVOLVES IP scanner

During the attackers’ renewed activity, the team observed them running an IP scanner and logging into multiple IP addresses.

Explicit Confidence 98% · Matt Bromiley EP 15 Details

“they ran an IP scanner and then hard-coded and were able to log into all these IPs”

Matt Bromiley · offsets 22030–22115

Retail credit-card breach INVOLVES Network segmentation

The company’s flat network and lack of segmentation enabled the malware to spread widely; network-infrastructure changes were recommended afterward.

Explicit Confidence 98% · Courtney Dayter EP 15 Details

“changing their network infrastructure so it’s not so flat”

Courtney Dayter · offsets 23177–23234

“every system could essentially reach every other system”

Courtney Dayter · offsets 23333–23388

Matt Bromiley MEMBER_OF Cylance

Matt later moved from Kroll to Cylance.

Explicit Confidence 99% · Jack Rhysider EP 15 Details

“Matt has since moved from Kroll and is now working at Cylance”

Jack Rhysider · offsets 29157–29218

Jack Rhysider AUTHORED Darknet Diaries

Jack states that the show is made entirely by him.

Explicit Confidence 99% · Jack Rhysider EP 15 Details

“This show is made entirely by me, Jack Rhysider.”

Jack Rhysider · offsets 30147–30195

passwordwolf.com DEVELOPED_BY Jack Rhysider

Jack says he made the password-generator website and its API.

Explicit Confidence 99% · Jack Rhysider EP 15 Details

“I made a random password generator.”

Jack Rhysider · offsets 30361–30396

“It has an API which allows you to use it in your own programs.”

Jack Rhysider · offsets 30595–30657

Transcript references

Works mentioned in the transcript. Distinct from show-note sources.

Extraction provenance

Model gpt-5.6-luna · prompt 1.5.19 · schema 1.5.19 · 2026-09-13T03:43:50.417366+00:00