Spoofing attack

Spoofing and TCP/IP Many of the protocols in the TCP/IP suite do not provide mechanisms for authenticating the source or destination of a message, leaving them vulnerable to spoofing attacks when extra precautions are not taken by applications to verify the identity of the sending or receiving host. IP spoofing and ARP spoofing in particular may be used to leverage man-in-the-middle attacks against hosts on a computer network. Spoofing attacks which take advantage of TCP/IP suite protocols may be mitigated with the use of firewalls capable of deep packet inspection or by taking measures to verify the identity of the sender or recipient of a message. Domain name spoofing The term 'Domain name spoofing' (or simply though less accurately, 'Domain spoofing') is used generically to describe one or more of a class of phishing attacks that depend on falsifying or misrepresenting an internet domain name. These are designed to persuade unsuspecting users into visiting a web site other than that intended, or opening an email that is not in reality from the address shown (or apparently shown). Although website and email spoofing attacks are more widely known, any service that relies on domain name resolution may be compromised. Referrer spoofing Some websites, especially pornographic paysites, allow access to their materials only from certain approved (login-) pages. This is enforced by checking the referrer header of the HTTP request. This referrer header, however, can be changed (known as "referrer spoofing" or "Ref-tar spoofing"), allowing users to gain unauthorized access to the materials. Poisoning of file-sharing networks "Spoofing" can also refer to copyright holders placing distorted or unlistenable versions of works on file-sharing networks. E-mail address spoofing The sender information shown in e-mails (the From: field) can be spoofed easily. This technique is commonly used by spammers to hide the origin of their e-mails and leads to problems such as misdirected bounces (i.e. e-mail spam backscatter). E-mail address spoofing is done in quite the same way as writing a forged return address using snail mail. As long as the letter fits the protocol, (i.e. stamp, postal code) the Simple Mail Transfer Protocol (SMTP) will send the message. It can be done using a mail server with telnet. Geolocation Geolocation spoofing occurs when a user applies technologies to make their device appear to be located somewhere other than where it is actually located. The most common geolocation spoofing is through the use of a Virtual Private Network (VPN) or DNS Proxy in order for the user to appear to be located in a different country, state or territory other than where they are actually located. According to a study by GlobalWebIndex, 49% of global VPN users utilize VPNs primarily to access territorially restricted entertainment content. This type of geolocation spoofing is also referred to as geo-piracy, since the user is illicitly accessing copyrighted materials via geolocation spoofing technology. Another example of geolocation spoofing occurred when an online poker player in California used geolocation spoofing techniques to play online poker in New Jersey, in contravention of both California and New Jersey state law. Forensic geolocation evidence proved the geolocation spoofing and the player forfeited more than $90,000 in winnings. ==Telephony==

Caller ID spoofing Public telephone networks often provide caller ID information, which includes the caller's number and sometimes the caller's name, with each call. However, some technologies (especially in Voice over IP (VoIP) networks) allow callers to forge caller ID information and present false names and numbers. Gateways between networks that allow such spoofing and other public networks then forward that false information. Since spoofed calls can originate from other countries, the laws in the receiver's country may not apply to the caller. This limits laws' effectiveness against the use of spoofed caller ID information to further a scam. == Satellite navigation spoofing ==

Information technology plays an increasingly large role in today's world, and different authentication methods are used for restricting access to informational resources, including voice biometrics. Examples of using speaker recognition systems include internet banking systems, customer identification during a call to a call center, as well as passive identification of a possible criminal using a preset "blacklist". Technologies related to the synthesis and modeling of speech are developing very quickly, allowing one to create voice recordings almost indistinguishable from real ones. Such services are called text-to-speech (TTS) or style transfer services. The first one aimed at creating a new person. The second one aimed at identifies as another in voice identification systems. A large number of scientists are busy developing algorithms that would be able to distinguish the synthesized voice of the machine from the real one. On the other hand, these algorithms need to be thoroughly tested to make sure that the system really works. Prior work has demonstrated that feature design and masking-based augmentation play an important role in improving spoofed speech detection performance. More recently, approaches that integrate trainable feature extractors with strong and diverse audio augmentation strategies have shown improved robustness, highlighting the importance of jointly learning representations while exposing the model to a wide range of artifacts and signal distortions. == Facial recognition spoofing ==

Facial recognition technology is widely employed in various areas, including immigration checks and phone security, as well as on popular platforms like Airbnb and Uber to verify individuals' identities. However, the increased usage has rendered the system more susceptible to attacks, given the widespread integration of facial recognition systems in society. Some online sources and tutorials detail methods for tricking facial recognition systems through practices known as face spoofing or presentation attacks, which can pose risks in terms of unauthorized access. To mitigate these dangers, measures such as liveness checks (verifying blinking), deep learning, and specialized cameras like 3D cameras have been introduced to prevent facial recognition spoofing. It is important to implement comprehensive security procedures like these to protect against face spoofing attempts and uphold the overall security and integrity of systems relying on facial recognition authentication. == See also ==