#if the training data was made by the devs and not stolen!!!
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tinkkles · 2 years ago
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One of the things that makes me especially insane about the AI art situation is that there are like. Really really cool applications of it. Like procedurally generated art and stylized maps and cultural trends in procedural games. Every No Man's Sky world is full of AI art, they just made the generators and the training data themselves. But because people can't not be assholes there will never be any sort of ethical public AI art generator API bc people will use it to steal work smh smh smh we can't have cool things
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joellen-envoi · 2 years ago
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Hi @chaoskirin! Honoured that you responded to me 😊
So, as I understand, I think you're saying:
Art contained in various AI training datasets are obtained without artists' consent and as such stolen.
Most book covers are AI generated, and thus not made by artists.
Artists do want to make book covers.
As a consequence of point 1, AI companies, their employees and anyone complicit in their activities and profiting unfairly.
AI models must be exclusively trained on royalty-free, Creative Commons licensed or pre-paid art.
Therefore, AI is harming art...
To point 1 & 5, I examined the license of 2 image datasets:
Art Bench - standardized dataset for image generation benchmarking
LAION-5B - the 5B image dataset that Stable Diffusion is trained on
Industry standard: Public datasets must state where they obtain their data from.
Tumblr media Tumblr media
On the left is Art Bench, artworks obtained under Fair Use license. On the right is LAION-5B, artworks obtained under Creative Commons. (All results Google-able)
So, responding to point 4, the artworks were fairly obtained - an AI company's profits are fairly earned.
As to point 3, I am not an industry insider and thus have no ground to comment.
The first AI-generated art piece was created only in 2018, and it is not yet the industry standard for book publishing companies to use AI to generate art. Penguin Books claims that it takes a team and an illustrator working months to push out a book cover. As such, I don't think point 2 is true in the publishing world yet.
That being said, I do understand your cause for concern. Since artists do want to make book covers, AI-generators are cannabalizing their industry. However, I don't think any money would have gone to artists anyway. Midjourney (book cover/concept art generator) is free has a free plan with relatively cheap subscription options. It stands to reason that the ones who use Midjourney are those who don't have budget for illustrators in the first place.
It seems to be getting increasingly difficult for creatives to survive, especially since AI seems to be encroaching on your territory. But I feel that creatives interacting with patrons have advantages that AI don't:
communication - you can actually feedback to your client and hear what they want
customization - you can modify your work as you wish with no limitations
medium - ai is limited to pixels and print, and can only output fixed dimensions. you are in the real world and unbounded
personalization - you can feel, understand, empathize, hear what they don't say. AI can only take in their text prompt
If anything, use AI as your tool, and make it help you. Think of it as another tool in your toolbox, rather than a threat.
As a final note, web scraping does collect data, but unless someone (human being) labels it, it is useless. (If you're ever angry at AI, think of the dev who went through college just to write yes and no on an excel sheet.) Furthermore, web scraping can only collect data in the public domain.
To reiterate: Christopher Paolini, author of Eragon and other such books, blocked me on Twitter for calling him out about his AI-generated cover.
Tor has admitted he approved this cover and they have been consulting him every step of the way. He is complicit.
It’s honestly so fucking frustrating that this is going to go forward. That the cover to Fractal Noise is gonna be published with AI art that has ripped off other artists. And neither the author nor the publisher give one flying fuck about it.
I don’t think a lot of people really understand what this means. Book cover art is already nearly universally shitty. You go look at fantasy art covers, and they’re all photomanipulations, generally a single girl on the cover doing magic or looking into the distance. There’s no variety. But at least people get paid for them.
With AI art, artists don’t get paid. You know who does? The people who made the dataset. The people who sold the “cover.” Even though it took less than 20 minutes to make.
If this isn’t infuriating you, I don’t know what the hell else to say. Machine learning is coming for everyone’s jobs, and corporate wallets don’t care if it’s safe or not. Certain areas are already experimenting with AI Amazon deliveries, and it’s been hinted that long-haul trucking is next.
This is unacceptable. PLEASE. I’m not going to guilt you into sharing this, but it is CRITICAL that we take a stand now and STOP THIS FROM HAPPENING. If you follow me, I am asking you as a friend to share this, and to find it in your heart to put pressure on people who publish AI art without paying artists.
Tor could change the cover. They’re not, because they’re using Fractal Noise as a test run to see if they can get away with it. Don’t let them. I don’t care how much you like Paolini’s work (although I think Eragon was a boring slog, so I had no qualms about calling him out), you HAVE to do your best to make this stop.
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terabitweb · 6 years ago
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Original Post from Security Affairs Author: Pierluigi Paganini
Group-IB, an international company that specializes in preventing cyberattacks, has uncovered a malicious code designed to steal customers’ payment data on seven online stores in the UK and the US.
The injected code has been identified as a new JavaScript Sniffer (JS Sniffer), dubbed by Group-IB as GMO. Group-IB Threat Intelligence team first discovered the GMO JS Sniffer on the website of the international sporting goods company FILA UK, which could have led to the theft of payment details of at least 5,600 customers for the past 4 months.  
Do your payments have the sniffles?
Most recent breaches similar to this include British Airways and Ticketmaster which were first analyzed by RiskIQ research team, where cybercriminals managed to compromise personal information of thousands of travelers and concert goers with a few of lines of code. British Airways and Ticketmaster websites were infected with JS Sniffers, a type of malicious code injected into a victim’s website designed to steal a consumer’s personal data including payment card details, names, credentials etc. FILA UK website (fila.co[.]uk) became cybercriminals’ new major target on the UK market . GMO JS Sniffer has also been discovered on 6 other websites of US-based companies. This type of attack is especially dangerous given that it can be applied to almost any e-commerce site around the world. Group-IB made multiple attempts to alert FILA, which was known to be impacted by GMO. Six other websites affected by this JS Sniffer were notified upon discovery as well. Group-IB team has also reached out to local authorities in the UK and the US to conduct outreach.
Group-IB’s Threat Intelligence team first discovered GMO on the FILA UK website. The malicious code was detected in early March 2019. In the course of further research it was revealed that GMO JS Sniffer has presumably been collecting customer payment data since November 2018. According to Alexa.com, the number of fila.co[.]uk unique monthly visitors is estimated at around 140k per month. According to IRP, UK market research firm, a minimum conversion into purchase for fashion and clothing ecommerce is equal to 1%. Using very conservative estimates, payment and personal details of at least 5,600 customers could have been stolen by cybercriminals – everyone who has purchased items on fila.co.uk since November 2018 has potentially had their details compromised. Typically, after customer data is stolen, it is usually resold on underground cardshops. Another scheme of cashing out involves the use of compromised cards to buy valuable goods, e.g. electronics, for onward sale.
“One-line card stealing code downloads a JavaScript Sniffer once a customer lands on a checkout page, which intercepts credit card data and sends it to local storage. After, the payment cards’ details are sent to the JS Sniffer’s gate which is located on the same server as a JS Sniffer script itself. Cybercriminals might have injected a malicious code by either exploiting a vulnerability of Magento CMS (content management system), used by FILA.co.uk, or simply by compromising the credentials of the website administrator using special spyware or cracking password with brute force methods” – comments Dmitry Volkov, CTO and Head of Threat Intelligence at Group-IB. “We dubbed this JS Sniffer family GMO because the malware uses gmo[.]li host.”
 Fig. 1 The screenshot shows a one-line code (line # 771) that downloads a JS Sniffer designed to steal customers’ data once a user lands on a checkout page.
Fig. 2 The screenshot shows part of the JS Sniffer that detects Chrome Dev Tools and Firebug & the Sniffer downloaded to user’s browser once a user lands on a checkout page
Fig. 3 The screenshot shows part of the JS Sniffer with functions for collecting victim’s billing and payment information and sending extracted information to cybercriminals via image request
Fig. 4 The screenshot shows part of the JS Sniffer that calls functions for collecting and sending victim’s payment information to cybercriminals
Later Group-IB’s specialists found other websites infected with GMO JS Sniffer. The list included six ecommerce stores with a total of around 350,000 monthly unique visitors (according to Alexa.com rankings): http://jungleeny[.]com (Home design store), https://forshaw[.]com/ (Pest Management Products Store), https://www.absolutenewyork[.]com/ (Cosmetics Store),https://www.cajungrocer[.]com/ (Online Grocery Store), https://www.getrxd[.]com/ (Training Equipment Store), https://www.sharbor[.]com/ (Video Editing Apparel store).
E pluribus unum?
GMO is a family of JS Sniffers that targets Magento-based online stores. GMO can detect Firebug and Google Developer Tools, which allows the sniffer to remain undetected. Group-IB’s Threat Intelligence team discovered that GMO has been active since May 2018. The domain name used for the sniffer’s codes storage and as a gate for stolen data collection was registered on May 7, 2018. The newly discovered GMO JS Sniffer is one of the 15 families of sniffers described by Group-IB in its new report that the company is prepping to release soon. Group-IB Threat Intelligence customers will be the first to receive the report. Nine out of these fifteen JS Sniffers’ families were not previously researched.
“JS Sniffers is a type of malware that remains poorly researched. Despite its simplicity, it is capable of causing massive financial and reputational damage to huge international corporations and therefore should not be underestimated. Recent data breaches at British Airways and Ticketmaster proved this point. And not only small online stores get affected, but also payment systems and banks whose clients’ suffer from payment data leaks. The umbrella term “Magecart” given to these attacks by RiskIQ analysts should be much broader than that. There are many more groups using distinct families of JS Sniffers capable of targeting online stores. Since in some cases it is difficult to determine how many people use the sniffer, Group-IB experts call them families, not groups. Every family of JS Sniffers has unique characteristics and requires a detailed analysis,”– says Dmitry Volkov.
“Group-IB Threat Intelligence team continuously analyses new types of JS Sniffers: multipurpose and specific, designed to target particular content management systems. Considering, the size of the market and the mounting threat JS Sniffers pose Group-IB decided to analyze several sniffers’ families enriching the knowledge about this malware significantly adding to the prior attempts to research JS Sniffers.”
About the author: About Group-IB
Group-IB is a leading provider of solutions aimed at detection and prevention of cyberattacks, online fraud, and IP protection.
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Pierluigi Paganini
(SecurityAffairs – payment data, cybercrime)
The post Payment data of thousands of customers of UK and US online stores could have been compromised appeared first on Security Affairs.
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Go to Source Author: Pierluigi Paganini Payment data of thousands of customers of UK and US online stores could have been compromised Original Post from Security Affairs Author: Pierluigi Paganini Group-IB, an international company that specializes in preventing cyberattacks, has uncovered a malicious code designed to steal customers’ payment data on  1,086 more words
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gilbertineonfr2 · 8 years ago
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TROOPERS 2017 Day #1 Wrap-Up
I’m in Heidelberg (Germany) for the 10th edition of the TROOPERS conference. The regular talks are scheduled on Wednesday and Thursday. The two first days are reserved for some trainings and a pre-conference event called “NGI” for “Next Generation Internet” focusing on two hot topics: IPv6 and IoT. As said on the website: “NGI aims to provide discussion on how to secure these core technologies by bringing together practitioners from this space and some of the smartest researchers of the respective fields”. I initially planned to attend talks from both worlds but I stayed in the “IoT” tracks because many talks were interesting.
The day started with a keynote by Steve Lord: ”Of Unicorns and replicants”. Steve flagged his keynote as a “positive” talk (usually, we tend to present negative stuff). It started with some facts like “The S in IoT stands for Security” and a recap of the IoT history. This is clearly not a new idea. The first connected device was a Coca-Cola machine that was available via finger in… 1982! Who’s remember this old-fashioned protocol? In 1985, came the first definition of “IoT”: It is the integration of people, processes and technology with connectable devices and sensors to enable remote monitoring status. In 2000, LG presented its very first connected fridge. 2009 was a key year with the explosion of crowdfunding campaigns. Indeed, many projects were born due to the financial participations of many people. It was a nice way to bring ideas to life. In 2015, Vizio smart TV’s started to watch at you. Of course, Steve talked also about the story of St-Jude Medical and their bad pacemakers story. Common IoT problems are: botnets, endpoints, the overreach (probably the biggest problem) and the availability (You remember the outage that affected Amazon a few days ago?). The second part of the keynote was indeed positive and Steve reviewed the differences between 2015 – 2017. In the past, cloud solutions were not so mature, there was communication issues, little open guidance and unrealistic expectations. People learn by mistakes and some companies don’t want to have nightmare stories like others and are investing in security. So, yes, things are going (a little bit) better because more people are addressing security issues.
The first talk was “IoT hacking and Forensic with 0-day” by Moonbeom Park & Soohyun Jin. More and more IoT devices have been involved in security incident cases. Mirai is one of the latest examples. To address this problem, the speakers explained their process based on these following steps: Search for IoT targets, analyze the filesystem or vulnerabilities, attack and exploit, analyze the artefacts, install a RAT and control using a C&C then perform incident response using forensic skills. The example they used was a vacuum robot with a voice recording feature. The first question is just… “why?”. They explained how to compromize the device which was, at the beginning, properly hardened.  But, it was possible to attack the protocol used to configure it. Some JSON data was sent in clear text with the wireless configuration details. Once the robot reconfigured to use a rogue access-point, root access on the device was granted. That’s nice but how to control the robot, its camera and microphone? To idea was to turn in into a spying device. They explained how to achieve this and played a nice demo:
So, why do we need IoT forensics? IoT devices can be involved in incidents.Issues? One of the issues is the way data are stored. There is no HD but flash memory. OS remains the first OS used by IoT devices (73% according to the latest IoT developers survey). It is important to be able to extract the filesystem from such devices to understand how they work and to collect logs. Usually, filesystems are based on SquashFS and UBIFS. Tools were presented to access those data directly from Python. Example: the ubi_reader module. Once the filesystem details accessible, the forensic process remains the same.
The next talk was dedicated to SDR (Software Defined Radio) by Matt Knight & Marc Newline from Bastille: “So you want to hack radios?”. The idea behind this talk was to open our eyes on all the connected devices that implement SDR. Why should we care about radio communications? Not that they are often insecure but they are deployed everywhere. They are also built on compromises: big size and costs constraints, weak batteries, the deployment scenarios are challenging and, once in the wild, they are difficult to patch. Matt and Marc explained during the talk how to perform reverse engineering. They are two approaches: hardware & software defined radio. They reviewed pro & con. How to perform reverse engineering a radio signal? Configure yourself as a receiver and try to map symbols. This is a five steps process:
Identify the channel
Identify the modulation
Determine the symbol rate
Synchronize
Extract symbols
In many cases, OSINT is helpful to learn how it works (find online documentation). Many information is publicly available (example: on the FCC website – Just check for the FCC ID on the back of the device to get interesting info). They briefly introduced the RF concept then the reverse engineering workflow. To achieve this, they based the concept on different scenarios:
A Z-Wave home automation protocol
A door bell (capture button info and then replay to make the doorbell ring of course
An HP wireless keyboard/mouse
After the lunch, Vladimir Wolstencroft presented “SIMBox Security: Fraud, Fun & Failure”. This talk was tagged as TLP:RED so no coverage but very nice content! It was one of my best talk for today.
The next one was about the same topic: “Dissecting modern cellular 3G/4G modems” by Harald Welte. This talk is the result of a research conducted by Harald. His company was looking for a new M2M (“Machine to Machine”) solution. They searched interesting devices and started to see what was in the box. Once the good candidate found (the EC2O from Quectel), they started a security review and, guess what, they made nice findings. First, the device contained some Linux code. Based on this, all manufacturers have to respect the GPL and to disclose the modified source code. It takes a long time to get the information from Quectel). By why is Linux installed on this device? For Harald, it just increased the complexity. Here is a proof with the slide explaining how the device is rebooted:
Crazy isn’t it? Another nice finding was the following AT command:
AT+QLINUXCMD=
It allows to send Linux commands to the devices in read/write mode and as root. What else?
The last talk “Hacks & case studies: Cellular communications” was presented by Brian Butterly. Brian’s motto is “to break things you must understand how they work”. The first step, read as much as possible, then build your lab to play with the selected targets. Many IoT devices today use GSM networks to interact with them via SMS or calls. Others also support TCP/IP communications (data). After a brief introduction to mobile network and how to deploy your own. An important message from Brian: Technically, nothing prevents to broadcast valid networks ID’s (but the law does it :-).
It’s important to understand how a device connects to a mobile network:
First, connect to its home network if available
Otherwise, do NOT connect to a list of blacklisted networks
Then connect to the network with the strongest signal.
If you deploy your own mobile network, you can make target devices connect to your network and play MitM. So, what can we test? Brian reviewed different gadgets and how to abuse them / what are their weaknesses.
First case: a small GPS Tracker with an emergency button. The Mini A8 (price: 15€). Just send a SMS with “DW” and the device will reply with a SMS containing the following URL:
http://gpsui.net/smap.php?lac=1&cellid=2&c=262&n=23&v=6890 Battery:70%
This is not a real GPS tracker, it returns the operation (“262” is Germany) and tower cell information. If you send “1111”, it will enable the built-in microphone. When the SOS button is pressed, a message is sent to the “authorized” numbers. The second case was a gate relay (RTU5025 – 40€). It allows opening a door via SMS or call. It’s just a relay in fact. Send “xxxxCC” (xxxx is the pin) to unlock the door. Nothing is sent back if the PIN is wrong. This means that it’s easy to brute force the device. Even better, once you found the PIN, you can send “xxxxPyyyy” to replace the PIN xxxx with a new one yyyy (and lock out the owner!). The next case was the Smanos X300 home alarm system (150€). Can be also controlled by SMS or calls (to arm, disarm and get notifications). Here again, there is a lack of protection and it’s easy to get the number and to fake authorized number to just send a “1” or “0”.
The next step was to check IP communications used by devices like the GPS car tracker (TK105 – 50€). You can change the server using the following message:
adminip 123456 101.202.101.202 9000
And define your own web server to get the device data. More fun, the device has a relay that can be connected to the car oil pump to turn the engine off (if the car is stolen). It also has a microphone and speaker. Of course, all communications occur over HTTP.
The last case was a Siemens module for PLC (CMR 2020). It was not perfect but much better than the other devices. By example, passwords are not only 4 numbers PIN codes but a real alphanumeric password.
Two other examples: a SmartMeter sending UDP packets in clear text with the meter serial number is all packets). And a Solar system control box running Windows CE 6.x. Guest what? The only way to manage the system is via Telnet. Who said that Telnet is dead?
It’s over for today. Stay tuned for more news by tomorrow!
[The post TROOPERS 2017 Day #1 Wrap-Up has been first published on /dev/random]
from Xavier
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terabitweb · 6 years ago
Text
Original Post from Security Affairs Author: Pierluigi Paganini
Group-IB, an international company that specializes in preventing cyberattacks, has uncovered a malicious code designed to steal customers’ payment data on seven online stores in the UK and the US.
The injected code has been identified as a new JavaScript Sniffer (JS Sniffer), dubbed by Group-IB as GMO. Group-IB Threat Intelligence team first discovered the GMO JS Sniffer on the website of the international sporting goods company FILA UK, which could have led to the theft of payment details of at least 5,600 customers for the past 4 months.  
Do your payments have the sniffles?
Most recent breaches similar to this include British Airways and Ticketmaster which were first analyzed by RiskIQ research team, where cybercriminals managed to compromise personal information of thousands of travelers and concert goers with a few of lines of code. British Airways and Ticketmaster websites were infected with JS Sniffers, a type of malicious code injected into a victim’s website designed to steal a consumer’s personal data including payment card details, names, credentials etc. FILA UK website (fila.co[.]uk) became cybercriminals’ new major target on the UK market . GMO JS Sniffer has also been discovered on 6 other websites of US-based companies. This type of attack is especially dangerous given that it can be applied to almost any e-commerce site around the world. Group-IB made multiple attempts to alert FILA, which was known to be impacted by GMO. Six other websites affected by this JS Sniffer were notified upon discovery as well. Group-IB team has also reached out to local authorities in the UK and the US to conduct outreach.
Group-IB’s Threat Intelligence team first discovered GMO on the FILA UK website. The malicious code was detected in early March 2019. In the course of further research it was revealed that GMO JS Sniffer has presumably been collecting customer payment data since November 2018. According to Alexa.com, the number of fila.co[.]uk unique monthly visitors is estimated at around 140k per month. According to IRP, UK market research firm, a minimum conversion into purchase for fashion and clothing ecommerce is equal to 1%. Using very conservative estimates, payment and personal details of at least 5,600 customers could have been stolen by cybercriminals – everyone who has purchased items on fila.co.uk since November 2018 has potentially had their details compromised. Typically, after customer data is stolen, it is usually resold on underground cardshops. Another scheme of cashing out involves the use of compromised cards to buy valuable goods, e.g. electronics, for onward sale.
“One-line card stealing code downloads a JavaScript Sniffer once a customer lands on a checkout page, which intercepts credit card data and sends it to local storage. After, the payment cards’ details are sent to the JS Sniffer’s gate which is located on the same server as a JS Sniffer script itself. Cybercriminals might have injected a malicious code by either exploiting a vulnerability of Magento CMS (content management system), used by FILA.co.uk, or simply by compromising the credentials of the website administrator using special spyware or cracking password with brute force methods” – comments Dmitry Volkov, CTO and Head of Threat Intelligence at Group-IB. “We dubbed this JS Sniffer family GMO because the malware uses gmo[.]li host.”
 Fig. 1 The screenshot shows a one-line code (line # 771) that downloads a JS Sniffer designed to steal customers’ data once a user lands on a checkout page.
Fig. 2 The screenshot shows part of the JS Sniffer that detects Chrome Dev Tools and Firebug & the Sniffer downloaded to user’s browser once a user lands on a checkout page
Fig. 3 The screenshot shows part of the JS Sniffer with functions for collecting victim’s billing and payment information and sending extracted information to cybercriminals via image request
Fig. 4 The screenshot shows part of the JS Sniffer that calls functions for collecting and sending victim’s payment information to cybercriminals
Later Group-IB’s specialists found other websites infected with GMO JS Sniffer. The list included six ecommerce stores with a total of around 350,000 monthly unique visitors (according to Alexa.com rankings): http://jungleeny[.]com (Home design store), https://forshaw[.]com/ (Pest Management Products Store), https://www.absolutenewyork[.]com/ (Cosmetics Store),https://www.cajungrocer[.]com/ (Online Grocery Store), https://www.getrxd[.]com/ (Training Equipment Store), https://www.sharbor[.]com/ (Video Editing Apparel store).
E pluribus unum?
GMO is a family of JS Sniffers that targets Magento-based online stores. GMO can detect Firebug and Google Developer Tools, which allows the sniffer to remain undetected. Group-IB’s Threat Intelligence team discovered that GMO has been active since May 2018. The domain name used for the sniffer’s codes storage and as a gate for stolen data collection was registered on May 7, 2018. The newly discovered GMO JS Sniffer is one of the 15 families of sniffers described by Group-IB in its new report that the company is prepping to release soon. Group-IB Threat Intelligence customers will be the first to receive the report. Nine out of these fifteen JS Sniffers’ families were not previously researched.
“JS Sniffers is a type of malware that remains poorly researched. Despite its simplicity, it is capable of causing massive financial and reputational damage to huge international corporations and therefore should not be underestimated. Recent data breaches at British Airways and Ticketmaster proved this point. And not only small online stores get affected, but also payment systems and banks whose clients’ suffer from payment data leaks. The umbrella term “Magecart” given to these attacks by RiskIQ analysts should be much broader than that. There are many more groups using distinct families of JS Sniffers capable of targeting online stores. Since in some cases it is difficult to determine how many people use the sniffer, Group-IB experts call them families, not groups. Every family of JS Sniffers has unique characteristics and requires a detailed analysis,”– says Dmitry Volkov.
“Group-IB Threat Intelligence team continuously analyses new types of JS Sniffers: multipurpose and specific, designed to target particular content management systems. Considering, the size of the market and the mounting threat JS Sniffers pose Group-IB decided to analyze several sniffers’ families enriching the knowledge about this malware significantly adding to the prior attempts to research JS Sniffers.”
About the author: About Group-IB
Group-IB is a leading provider of solutions aimed at detection and prevention of cyberattacks, online fraud, and IP protection.
window._mNHandle = window._mNHandle || {}; window._mNHandle.queue = window._mNHandle.queue || []; medianet_versionId = "3121199";
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Pierluigi Paganini
(SecurityAffairs – payment data, cybercrime)
The post Payment data of thousands of customers of UK and US online stores could have been compromised appeared first on Security Affairs.
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Go to Source Author: Pierluigi Paganini Payment data of thousands of customers of UK and US online stores could have been compromised Original Post from Security Affairs Author: Pierluigi Paganini Group-IB, an international company that specializes in preventing cyberattacks, has uncovered a malicious code designed to steal customers’ payment data on  1,086 more words
0 notes