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STIR/SHAKEN, or SHAKEN/STIR, is a suite of protocols and procedures intended to combat caller ID spoofing on public telephone networks.Caller ID spoofing is used by robocallers to mask their identity or to make it appear the call is from a legitimate source, often a nearby phone number with the same area code and exchange, or from well-known agencies like the Internal Revenue Service or ...
The MediaWiki:Spam-blacklist exists primarily to control widespread spamming and disruption of Wikimedia Foundation projects. It is intended as a last resort for persistent spamming on the project, by multiple individuals or IP addresses. Mediawiki:Spam-blacklist is meant to be used by the spam blacklist extension.
VoIP spam or SPIT (spam over Internet telephony) is unsolicited, automatically dialed telephone calls, typically using voice over Internet Protocol (VoIP) technology. [1]VoIP systems, like e-mail and other Internet applications, are susceptible to abuse by malicious parties who initiate unsolicited and unwanted communications, such as telemarketers and prank callers.
The extension supports Mozilla Firefox and Google Chrome. [3] Bypass Paywalls Clean was published on the Add-ons for Firefox website until a DMCA takedown notice was leveled against the Firefox extension in February 2023. [6] Due to a conflict with Google's rules, Bypass Paywalls Clean is not published on the Chrome Web Store. [3]
A SIM swap scam (also known as port-out scam, SIM splitting, [1] simjacking, and SIM swapping) [2] is a type of account takeover fraud that generally targets a weakness in two-factor authentication and two-step verification in which the second factor or step is a text message (SMS) or call placed to a mobile telephone.
Calling back to popular sites [15] such as GitHub, [16] Twitter, [17] [18] Reddit, [19] Instagram, [20] the XMPP open source instant message protocol [21] and Tor hidden services [22] are popular ways of avoiding egress filtering to communicate with a C&C server.
The bot was written in 2011, and development taken over by an Alberta-based programmer known as "Mango" two years later. [3] [4] It is driven by sixteen pre-recorded audio clips, spoken in a soft and slow Australian accent in the manner of an elderly man. [3]
Naive Bayes spam filtering is a baseline technique for dealing with spam that can tailor itself to the email needs of individual users and give low false positive spam detection rates that are generally acceptable to users. It is one of the oldest ways of doing spam filtering, with roots in the 1990s.