📌 Token Hijacking Summary
Token hijacking is when someone gains access to a digital token that is meant to prove your identity in an online system. These tokens are often used to keep you logged in or to confirm your access rights. If an attacker steals your token, they can pretend to be you without needing your password. This can happen if tokens are not properly protected, for example if they are stored in places that can be accessed by malicious software or through insecure connections. Protecting tokens is important to keep accounts and data safe.
🙋🏻♂️ Explain Token Hijacking Simply
Imagine you have a backstage pass for a concert. If someone steals your pass, they can get in and pretend to be you, even though they never bought a ticket. Token hijacking works the same way online, where someone steals your digital pass and uses it to access your stuff.
📅 How Can it be used?
Developers should use secure storage and transmission methods to prevent attackers from stealing authentication tokens in web or mobile applications.
🗺️ Real World Examples
A user logs into a banking app and receives an authentication token stored in their browser. If malware on the device copies this token, the attacker can use it to access the user’s banking account without knowing the password.
A company uses single sign-on for employees to access internal tools. If an employee connects to a public Wi-Fi and their session token is intercepted, an attacker can gain access to sensitive company resources.
✅ FAQ
What is token hijacking and why should I be concerned about it?
Token hijacking is when someone gets hold of a digital token that proves your identity online. If a hacker grabs your token, they can pretend to be you and access your accounts. You might not even realise it has happened, as they do not need your password. This can put your personal information and online services at risk.
How do attackers manage to steal these tokens?
Attackers can steal tokens in different ways, such as by tricking you into clicking on unsafe links, using malicious software, or taking advantage of insecure internet connections. Sometimes, if tokens are stored in places that are not well protected, they can be taken easily. That is why it is important for websites and apps to handle tokens carefully.
What can I do to protect myself from token hijacking?
To help protect yourself, always use secure internet connections, avoid clicking on suspicious links, and keep your devices updated. If an app or website offers extra security features like two-factor authentication, it is a good idea to use them. Staying careful with your online habits can make a big difference in keeping your accounts safe.
📚 Categories
🔗 External Reference Links
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Privacy-Preserving Knowledge Graphs
Privacy-preserving knowledge graphs are data structures that organise and connect information while protecting sensitive or personal data. They use methods like anonymisation, access control, and encryption to ensure that private details are not exposed during data analysis or sharing. This approach helps organisations use the benefits of connected information without risking the privacy of individuals or confidential details.
Quantum Error Efficiency
Quantum error efficiency measures how effectively a quantum computing system can detect and correct errors without using too many extra resources. Quantum systems are very sensitive and can easily be disturbed by their environment, leading to mistakes in calculations. High quantum error efficiency means the system can fix these mistakes quickly and with minimal overhead, allowing it to do more useful work.
Masked Modelling
Masked modelling is a technique used in machine learning where parts of the input data are hidden or covered, and the model is trained to predict these missing parts. This approach helps the model to understand the relationships and patterns within the data by forcing it to learn from the context. It is commonly used in tasks involving text, images, and other sequences where some information can be deliberately removed and then reconstructed.
Stealth Addresses
Stealth addresses are a privacy feature used in cryptocurrency transactions to make it difficult for outsiders to link payments to a specific recipient. When someone wants to send funds to a person using a stealth address, a unique one-time address is generated for each transaction. This means that even if someone looks at the blockchain, they cannot easily tell which transactions belong to the recipient. Stealth addresses help protect the privacy of users by hiding the connection between their public address and the funds they receive.
Cross-Chain Protocol Design
Cross-chain protocol design refers to the creation of systems and rules that allow different blockchain networks to communicate and work with each other. These protocols enable the transfer of data or assets between separate blockchains, overcoming their usual isolation. The process involves ensuring security, trust, and compatibility so that users can interact seamlessly across multiple blockchains.