Security Concepts
[Day 3] 2. Types of SE Attacks
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DITISS AdminHuman-Based Social Engineering Attacks
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Eavesdropping
- The attacker listens in on conversations where employees discuss confidential company or project information.
- By overhearing these conversations, the attacker gathers details about the company, employees, and projects.
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Shoulder Surfing
- Attackers watch as someone enters confidential information, like passwords or ATM PINs.
- Common locations: ATMs, shopping malls, or stores where people use debit/credit cards or UPI.
- They observe the PINs being entered to use them later.
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Dumpster Diving
- Attackers search through discarded items, such as ATM transaction receipts, to find valuable information.
- Example: Using the receipt to see the victim’s remaining balance and masking part of the account number, they may attempt reverse social engineering to get more details.
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Reverse Social Engineering
- The attacker pretends to be someone trustworthy, like a bank official, and uses partial information to extract more details.
- Example: After finding an ATM receipt, they might call the victim and say, “We need your account number for verification,” while sharing the remaining balance to appear legitimate.
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Piggybacking
- Used to bypass physical security in an organization.
- The attacker may create a fake ID card to gain entry or trick security into believing they are authorized.
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Tailgating
- The attacker follows an authorized person into a secure area right after they use their ID card.
- Relies on the authorized individual not questioning their presence.
Computer-Based Social Engineering Attacks
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Phishing
- Definition: Pronounced as "fishing", it’s a scam designed to steal sensitive information such as:
- Credit card details
- Social Security Numbers
- User IDs and passwords
- Also Known As: Brand Spoofing
- How It Works:
- Attackers send official-looking emails pretending to be from legitimate organizations (e.g., ISPs, retail stores).
- Prevention:
- Never click on suspicious links if you suspect a phishing attack.
- Definition: Pronounced as "fishing", it’s a scam designed to steal sensitive information such as:
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Publishing Malicious Apps
- Attackers create and publish apps that appear useful but are designed to steal your data.
- Example: Apps offering free access to premium services like Netflix or Amazon Prime often contain malicious code.
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Repacking Legitimate Apps
- Legitimate apps are repackaged with malicious code and made available on torrents or non-legitimate websites.
- These apps may look identical to the original but can compromise your sensitive information by including additional harmful content.
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Fake Security Apps
- Attackers use pop-ups to claim that your device is not secure and prompt you to download a security app or antivirus.
- These apps are often viruses themselves and should never be downloaded.
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Using SMS
- Attackers send SMS messages containing malicious links or requests for sensitive information.
- These messages often appear to come from trusted sources to trick the victim.
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