FlashGet
Bot User-Agent:flashget
⚠️ Overview
FlashGet is a multi-threaded download manager originally developed as JetCar in 1999 by Amber (Beijing) Technology, Ltd., and later acquired by Trend Micro. Although intended for legitimate file downloading, it is widely categorized as a malicious bot by web administrators because of its aggressive behavior—ignoring robots.txt, overwhelming server resources with numerous concurrent connections, and frequently being repurposed for automated content theft and bandwidth abuse.
🔧 Technical Capabilities
FlashGet splits files into multiple segments (up to 10 by default) and downloads them in parallel, accelerating transfers but also generating a disproportionate number of TCP connections per session. It supports resuming interrupted downloads via HTTP Range headers and can be configured to bypass referrer checks and cookie requirements. While not a vulnerability scanner, FlashGet is used for bulk harvesting of resources such as images, PDFs, and software installers—often from servers that do not implement rate limiting. Attackers have leveraged FlashGet to stage distributed downloads of malware payloads, as its multi-threading can evade simple per‑IP throttling. The tool maintains its own download queue and can be scripted via command‑line parameters, making it suitable for automated scraping campaigns. It also lacks proper User‑Agent rotation, making it easy to fingerprint.
📜 History & Notable Incidents
FlashGet soared in popularity in the early 2000s as one of the first Windows download accelerators, but it soon became a nuisance for web hosts who noticed excessive bandwidth consumption. In 2011, Trend Micro incorporated FlashGet into its security product line, yet the original free version continued to be distributed through third‑party sites, often bundled with adware. No direct CVEs are assigned to FlashGet itself, but it has been implicated in multiple incidents where compromised websites saw their entire media directories downloaded in minutes, and it has been used in “drive‑by download” campaigns to fetch secondary payloads.
🔍 Detection Indicators
The primary detection indicator is the User‑Agent string, most commonly “FlashGet”, “FlashGet/1.0”, or “FlashGet/2.0” followed by a version number. Behavioral fingerprints include a single IP address opening 10+ simultaneous connections to the same domain within seconds, frequent HTTP Range requests for partial content, and an abnormally high ratio of GET requests relative to other methods. Traffic logs often show multiple requests for the same URL with varying byte ranges, a signature of segmented downloading.
☠️ Risk & Impact
By flooding servers with parallel requests, FlashGet can degrade web application performance for legitimate users and inflate bandwidth costs significantly. In larger deployments, it can lead to accidental denial‑of‑service conditions when many instances run concurrently. Additionally, if used to download copyrighted material or proprietary data, it exposes the site owner to legal liability and potential data leakage. The tool’s ability to resume downloads also makes it difficult to completely halt an ongoing scraping campaign without blocking the IP entirely.
🛡️ Mitigation
Due to its aggressive multi‑threading, disregard for site policies, and history of abuse, FlashGet is blocked immediately upon detection by comparing the User‑Agent header against a blocklist. Rate limiting rules that cap the number of concurrent connections per IP further neutralize its impact, and WAF rules can be configured to drop requests containing the literal string “FlashGet” in the User‑Agent field.
Similar Threats
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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.