Understand how to prevent tampering and hijacking of device fingerprints

a certain extent , Device fingerprints are no less important to people than identity cards .

Why do you say that? ？

Most people may have had such an experience ：

When you swipe a short video , As long as we like a video , Next time I swipe the video , The system will recommend more similar videos ; When you browse a product in a shopping software , Shopping software will appear products related to search terms .

You think you are dominated by algorithms , It's actually a device fingerprint “ sell ” After you .

Device fingerprint , As the name suggests, it can be used to uniquely identify the equipment characteristics or unique equipment identification . And have certain offensive and defensive capabilities , Have the ability to monitor the equipment environment .

For some sites , It can accurately identify a user 、 Browser or device is a very tempting ability , It is also a strong demand .

for example , For advertising manufacturers or search engines , You can use the device fingerprint to know what the user has searched before 、 What are hobbies , So that the search results can better meet the needs of users and display the search results ; For banks 、 E-commerce and other organizations with higher security requirements , You can use this technology , Find the logged in user environment 、 Changes in equipment , So as to prevent account theft 、 Password cracking and other malicious requests .

Of course , For black ash production , This technology can also be used , Changing user identities . generally speaking , Black ash production will cheat through equipment farms 、 Simulator cheating 、 Attacks such as artificial cheating can cause huge economic losses to enterprises in a short time .

But the traditional equipment identification technology mainly depends on a single information source , Unable to effectively identify and judge the black ash production . therefore

Enterprises urgently need a new device identification and tracking technology , To distinguish normal users 、 Malicious users and even fraud gangs , To protect the safety of enterprise assets .

today , We will start from the tamper proof of the fingerprint of the top image device 、 Speaking of the anti hijacking function .

For risk users “ Never trust ”

As mentioned earlier , The device fingerprint is equivalent to a person's second identity authentication , Once tampered with or hijacked , The consequences are predictable .

Generally speaking , Black ash production meeting passed Brush machine 、 Change the engine , Change IMEI、MAC And other means to tamper with data , And then let the enterprise suffer losses . that , How does the fingerprint technology of top image equipment deter black and gray producers ？

Today's device fingerprint technology Use multidimensional device side information to complete device identification . It collects the characteristic information of terminal equipment , And on the basis of analysis and identification , For each group of characteristic information collected from the terminal equipment, the correlation calculation is carried out through the similarity algorithm , Generate a unique device fingerprint ID, Used to identify the terminal device . From the technical method of implementation , It can be divided into active device fingerprint and passive device fingerprint .  

that , Tamper proof 、 Anti hijacking level , How to realize the fingerprint technology of top image device

The first is identification . Generally speaking , Normal users will not easily tamper with information , When a user constantly tampers with information , Need to keep track of their behavior , Then determine whether it is a risk user , Once the identity of its risk user is determined , It also lost “ Be trusted ” Qualifications , that , The system will intercept the user .

Next is the moment when the fingerprint of the top image device shows its talents , As mentioned earlier , The device fingerprint itself already has the analysis and identification of device characteristics , But we have to deal with black ash production , Only one layer of protection is not enough , The top image is locked .

When the system determines that a user is a risk user , Device fingerprint analyzes and identifies the collected device information through algorithm .

The device fingerprint system is divided into device fingerprint front-end acquisition 、 Device fingerprint service 、 Three functional modules of the device fingerprint console , And there are supporting data storage modules .

  The fingerprint production algorithm of server-side equipment is mainly based on the end （ Include web End 、android End 、ios End 、 Small program end 、 official account ） The collected information is generated , For the collected device information , The back-end algorithm will divide it into strong feature data and weak feature data . If the terminal equipment is at risk , The system will display the risk label , And through the equipment environment 、 Vulnerabilities 、 Score the equipment from multiple dimensions such as existing risks , The lower the score, the higher the risk .

meanwhile , Match the top image decision engine output to the business system risk level , Effectively intercept risk behaviors , Provide a better experience for trusted security users .

  As one of the basic technologies of the top image risk control system , It plays an important role in the risk identification of all business links , It can usually be applied to banks 、 Online retailers 、 Mutual gold 、 aviation 、 Games and other industries , Combining with the business risk control system can effectively solve the problem of channel promotion 、 Account security 、 Transaction payment 、 Security issues in marketing activities and other scenarios .

Digital business risks are becoming more diversified , Data security and compliance will become the focus of enterprises

And the fingerprint of the device is tamper proof 、 The anti hijacking function reflects the greater risk of the enterprise —— Digital business security . Regarding this , Zhang Zukai, a risk control expert at Dingxiang, believes “ In the future , The focus of device fingerprint will be more on data security and compliance ”.

With the further popularization of digitalization , Business is more open and interconnected . Key data of the enterprise 、 User information 、 infrastructure 、 The operation process is in an increasingly open environment with fuzzy boundaries , Businesses involving interest streams and high value-added face a variety of security risks , May suffer losses at any time , And then affect the operation and development of enterprises .

One side , There are various forms of business security risks , In the electricity supplier 、 payment 、 credit 、 Account 、 Interaction 、 In business scenarios in the form of transactions , There are all kinds of fraud ; On the other hand , Fraud is becoming increasingly professional 、 Industrialization , And it has Gang nature 、 complexity 、 Concealment and infectivity .

not long ago , It was jointly released by Dingxiang and Xintong academy 《 Business security white paper 》 It is mentioned in , For the purpose of making large-scale profits, online black and gray products , Familiar with business processes and protection logic , Be able to skillfully use automation 、 Intelligent emerging technology , Constantly develop and optimize various attack tools , Adopt theft 、 forge 、 Crack 、 Hijacking and other means , Start to collect wool 、 Stir fried letter 、 Brush quantity 、 Fake account number 、 Malicious reptiles 、 Gangs cheat on loans 、 Card raising cash out 、 Money laundering 、 shanzhai App、 Fraud attacks such as false attendance .

therefore , Mature device fingerprint technology has become one of the key technologies of big data risk control for every anti fraud enterprise .

This year, Dingxiang also officially launched the defense cloud platform , The platform integrates the business aware defense platform 、 Verification Code 、 Equipment fingerprints, end reinforcement and other products, as well as business Threat Intelligence 、 Cloud strategy and other services . Device fingerprints as part of the defense cloud , It can effectively detect the simulator 、 Brush the machine and change it 、ROOT Prison break 、 Hijack injection and other risks .