{"id":5748,"date":"2023-11-21T17:38:33","date_gmt":"2023-11-21T12:08:33","guid":{"rendered":"https:\/\/www.mailxaminer.com\/blog\/?p=5748"},"modified":"2025-11-20T18:12:11","modified_gmt":"2025-11-20T12:42:11","slug":"find-credit-card-numbers-in-files","status":"publish","type":"post","link":"https:\/\/www.mailxaminer.com\/blog\/find-credit-card-numbers-in-files\/","title":{"rendered":"Find Credit Card Numbers in Files Tips for Cyber Crime Analysts"},"content":{"rendered":"

During cybercrime investigations, detectives often have to find credit card numbers in files present across multiple digital sources. Moreover, as credit cards can provide lots of insights into the transactions done by cybercriminals, finding them is a key process that can\u2019t be delayed. However, the real challenge in most cases is that these card numbers are not readily available to the investigator.<\/span><\/p>\n

If cybercriminals are smart, they might use codewords instead of actual names to misguide forensic analysts. As information becomes readily available, even cybercriminals can now use complex file hierarchies and encryption tactics to hide the location of files. That’s why we here have the best available utility for extracting the card numbers with minimal time and effort.\u00a0<\/span><\/p>\n

Even with the tool at hand, detectives must have a strategy of their own to prioritize certain data types over others. This is due to the sheer volume of data involved in a cyber investigation<\/a><\/strong>. So let’s discuss the files that are most likely to contain the credit card numbers.<\/span><\/p>\n

Where to Find Credit Card Numbers in Files that are Stolen<\/strong><\/h2>\n

The most likely file formats, folders, and software that can contain hidden credit card numbers are as follows:<\/span><\/p>\n

Text-Based Files:<\/b> After a data leak or hacking on a secure database, adversaries often put the stolen data in CSV or similar file formats. These files are not used by attackers themselves but rather put on sale on the dark web. In such a case, investigators might find a large CSV or XLSX file as an email attachment.\u00a0<\/span><\/p>\n

Email Clients: <\/b>Cybercriminals more often than not work in teams. Like any other team, they also conduct communication and share information after a digital theft. For that, the most likely tools are desktop-based email clients. So if the electronic devices gathered during an investigation have preinstalled email clients, forensic teams must conduct a thorough investigation of those as well.<\/span><\/p>\n

Cloud Storage: <\/b>Investigators might find credit card numbers in files present on the cloud platform (or web-based email clients) linked to the criminal. New and inexperienced fraudsters might use these to keep the data scraped by them.<\/span><\/p>\n

Digital Images:<\/b> A cybercrime is less likely to originate from a local source. Especially one that involves a data leak of plastic money. Moreover, sending hardware across state or national borders is time-consuming. Therefore, to speed up the investigation, the cyber police may send a digital image of the device to the forensic analyst for evidence accumulation.<\/span><\/p>\n

Virtual Photos: <\/b>Sometimes, instead of direct credit card information, investigators might find images of the items instead. These include PDFs as well.<\/span><\/p>\n

Compressed Files:<\/b> Due to the large volume of data involved, criminals often compress the original data in zip format. Investigators should check these files on the criminal\u2019s system to see if they contain the credit card names or numbers.<\/span><\/p>\n

Best Way to Find Credit Card Numbers by Name In Files\u00a0<\/strong><\/h2>\n

MailXaminer<\/b><\/a> is the go-to utility for email forensic<\/a><\/strong> scenarios. It is especially designed to aid cybercrime investigators during the evidence-gathering phase of their case. With an ever-increasing rate of cyber fraud, law enforcement agencies need all the help they can.\u00a0<\/span><\/p>\n

That’s why countless agencies have put their trust in using the services of the tool to speed up their ability to prosecute criminals. With dedicated filters for various scenarios, like one where detectives need to find credit card numbers in files, it covers all the bases with minimal effort.\u00a0<\/span><\/p>\n

Even with so many features, the tool manages to maintain a user-friendly interface that requires no prior training. This is done so that the tool can be deployed and used directly without much effort.<\/span><\/p>\n

Case Creation Stage of the Automated Utility for Credit Card Lookup<\/strong><\/h3>\n

Step-1.<\/b> Launch the tool, check the top right corner for a running condition (green tick), and type in the default ID and password (both: administrator). This can be changed post-login. Make sure that the tool is activated prior to its use.
\n\"type
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Step-2.<\/b> Hit \u201cCREATE CASE\u201d, fill in the required fields, and press Save. A new case is added. Click on the title to proceed. Press \u201cADD NEW EVIDENCE.\u201d From the series of options, pick the most appropriate one as per your choice.
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Step-3. <\/b>Next, apply the Settings (for credit card info \u201cUpload Attachments while Scanning\u201d, “OCR,” and \u201cImage Analysis\u201d are recommended). Users also have the option to remove encryption from files. Once all settings are complete, click Next.
\n\"evidence
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Step-4. <\/b>Now to find credit card numbers in files, add the source file that contains the stolen credit card data and click Finish.
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Step-5. <\/b>The real-time evidence scanning status can be seen on the Pending, Processing, or Completed tab. (New evidence of varying data types can be added during investigation using the plus \u201d+\u201d icon).
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Searching and Filtering Operations to be Performed Via the Tool<\/strong><\/h3>\n

Step-1. <\/b>Go to the search tab to preview the data set (multiple viewing options exist for investigators to make sense of their data). Click on the highlighted icon to look at the folder hierarchy.
\n\"custodian
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Step-2. <\/b>In the bottom left corner, there exists a set of filters to modify the data set.
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