![]() ![]() This Universal Reddit Scraper v3.3 can scrape Reddits and subreddits: Figure 7: A Reddit scraping tool There are also scraping tools specific to account providers. Similarly, this cracking pack contains several scraping tools: Figure 6: A cracking pack containing several scraping tools ![]() Figure 5: A ‘cracking pack’ containing three scraping tools Scraping tools are something of a commodity item on the deep and dark web, often included in larger hacking or cracking “packs.” For example, this collection of cracking tools contains Lol.Boosted Scraper, SLC Scraper v2, and Steam Username Scraper. Scraping ToolsĪctors seeking to scrape and extract data on their own need not look very far. Actors can also comb the data for appealing targets for more advanced social engineering attacks or identity theft. The personal and professional records leaked may be exploited to target users and distribute spam or automated, targeted phishing attacks (emailing users using other personal data about them to “prove” that it is an official email). Scraped data offers many opportunities for threat actors. For example, the posts below include data scraped from Facebook, Instagram, and Clubhouse: Figure 2: An actor shares a database of 50 million Facebook users, noting that this was scraped in 2020-2021 Figure 3: An actor notes that he found a database of nearly 500 million Instagram users Figure 4: An actor shares a scraped database of Clubhouse users The most popular targets of scraping are social media sites. Learn more: How to find threats on the dark web In many cases, actors note that the data they offer was scraped. The deep and dark web are replete with compromised data, sometimes shared for free and other times sold at a price. It is simple to execute instead of breaking into a server or database, the threat actor exploits platform vulnerabilities to gather data that is already publicly available. ‘Scraping’ is a popular method of autonomous data extraction and collection, used to retrieve and capture publicly available data and ‘dump’ it into a large, structured and useable database. ![]()
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