Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112426233E600DC2A8EAB5588F6C49989515DD349FB314CC6B1A091FF7BC4CF069A97AC |
|
CONTENT
ssdeep
|
192:k03JwdYduxtkOxXCjWrM6XMcnthWeNWbYz5e00GLKIQZfMmUU8VCoY:uYap4WrM6Lz5ePGCZfMmUFCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3e4c63634c1c3a |
|
VISUAL
aHash
|
00ff9fffefffffff |
|
VISUAL
dHash
|
4050381808000000 |
|
VISUAL
wHash
|
00070787e4fcf3f2 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
5838380848000800,8000404040404080 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.