Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F673637652426E3F108382D59318D36DE3C7E209D767898797E8832F27C6DE1EC3A568 |
|
CONTENT
ssdeep
|
1536:Bu+5hsxDcsu0B4jo6DVyZ0g+GYUFHtK0pxVuz8a6:ax8UZH/K6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e05286be366cbc96 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ccb83131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,b1a66295b1194b4b,24a7d71c1c9994d4,38789d9c8c8c8d8f,8512382727000f0c,848fc9c98b23338f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)