Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C634B30B6366C3D53AB04EDE3787A4AA1C2DA0DD8CB0550B6D81A9D67C3CF631567B8 |
|
CONTENT
ssdeep
|
1536:rLi54B8P45Uf/P3KHJwykSONZS2ejeeeo7MXMTAwuMCB8wwMCBwY/MCB8YhMCBB4:rf8MTAwvwxYOYzN2aDSw0Ea |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d676a0a397f15c0c |
|
VISUAL
aHash
|
e7ff008c3c00ffff |
|
VISUAL
dHash
|
0c8e307c60740c41 |
|
VISUAL
wHash
|
e7e700081c00ffff |
|
VISUAL
colorHash
|
06007000040 |
|
VISUAL
cropResistant
|
0c8e307c60740c41,7fffffff6f527331,c3c3030303020202,6040404080004060,0088828009080000,4511013232310155 |
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 127 techniques to evade detection by security scanners and make reverse engineering more difficult.