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History Sniffing Cyber Attacks

History Sniffing is an umbrella term that defines different techniques used to monitor the web browser history for diverse purposes including the launch of a cyber attack. Although it is an old trick, the technique is still being used for victimizing internet users. In the recent times, studies have shown a rise in the types and numbers of history sniffing cyber attacks for the sheer ease of launching such attacks.

How Is History Sniffing Cyber Attack Launched?

  • The cyber attackers create fake online advertisement and preload attacker code in this ordinary looking advertizement.
  • The code is embedded with a list of target websites (the websites that hackers want to know if the user has visited).
  • When user clicks on the advertizement, the code starts running and checks the browsing history for target websites.
  • If the user has visited any of the target websites, the program will indicate a match to the hacker.
  • The hackers then redirect the victim to corresponding fake version of the website to cause further damage.

How Are History Sniffing Attacks Used?

The data collected by history sniffing attacks is used as a foundation for other types of cyber attacks by hackers.

  • Phishing: Hackers use history sniffing techniques to find out the financial organization websites visited by the victim. This data is then used to launch customized phishing attacks which automatically match every victim to a fake page of actual financial organization. The victims are tricked into filling their financial details which can be used by hackers to steal money from users’ accounts.
  • Stalking: History sniffing can be used to stalk internet users by keeping an eye on their browsing behavior. Hackers may keep a track of social media pages or locations saved in the browser history. Stalking may cause some serious problems for the victim such as kidnapping, physical damage, assault, etc.
  • Identity Theft: It is common for internet users to save their login details or choose the option to ‘keep Logged In’ on their browser. Hackers can use history sniffing coupled with other malicious code to check the social media profiles logged in on the browser and access these profiles to pose as the user. They can further use these accounts to send unauthorized messages, post fake news, etc.

For more information on history sniffing cyber attacks, call Centex Technologies at (972) 375 - 9654.        

Cybersecurity Threats To Be Aware Of

With increasing use of internet, there has been an alarming increase in number of cybersecurity threats. In addition to number, the risk and severity of cybersecurity threats has also increased. Advancement of technology and wide use of digital media have added to the skills of cyber criminals. The best practice to combat these cybersecurity threats is to be aware of different threat types and be prepared with effective cybersecurity strategies.

Here is a detailed list of cybersecurity threats that businesses should be aware of:

  • Cloud Vulnerability: Cloud vulnerability is and will continue to be one of the biggest cybersecurity challenges faced by business organizations. The major reason behind this is the changing business scenario as organizations have increasing number of remote employees. The employees need to access business data from different locations in order to be efficient and productive. Thus, organizations are leveraging cloud applications and storing sensitive business data on cloud storage. Some of these cloud vulnerability attacks include data breach, mis-configuration, insecure interfaces and APIs, account hijacking, malicious insider threats, and DDoS attacks.
  • AI-Enhanced Cyberthreats: AI and machine learning have found extensive applications in all fields including marketing, manufacturing, security, supply chain management, business mainstream, etc. Cyber criminals are also exploiting AI to launch sophisticated cybersecurity attacks such as AI Fuzzing and Machine Learning Poisoning.
  • AI Fuzzing: Fuzzing refers to usually automated process of finding hackable software bugs by randomly feeding different permutations of data into a target program until one of those permutations reveals vulnerability. AI fuzzing integrates AI with traditional fuzzing techniques to create a tool that detects system vulnerabilities, start, automate and accelerate zero-day attacks.
  • Machine Learning Poisoning: The cyber criminals target a machine learning model and inject malicious software in it. This makes the system (operating the model) vulnerable to cyber security attacks. As machine learning models feed on data sourced from surveys or social media, cyber criminals exploit user-generated information such assatisfaction ratings, purchasing histories, or web traffic by using malicious samples, introducing backdoors or Trojans for poisoning training sets and compromising the model.
  • Smart Contract Hacking: Smart contracts are specially designed programs that contain self-executing codes for creating rules and processes that build blockchain-based applications. Since this is a new concept, researchers are still finding bugs in these programs. Cyber criminals exploit these vulnerabilities and target the programs for hacking into applications. this poses as a new cybersecurity threat for businesses.
  • Deepfake: It is a fake video or audio created by modes such as swapping a famous person’s face in videos or altering the audio track of a video to spread fake news. The technology is AI-based and is being used extensively by cyber criminals to cause disruption across various industry segments such as financial market, media, entertainment and politics. In business world, these fake videos may be used to impersonate CEOs to spread fake news about a business.

For more information on cybersecurity threats, call Centex Technologies at (972) 375 - 9654.