Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D393D55618138CA147CA7DFF2FFE05131FB1AABA5486802A4EC26896CF8D2F71751C |
|
CONTENT
ssdeep
|
1536:xW10RQ7H3dIQaD7JKYZUlFsR8MLqcg3FsR8MLqcMJ0:g0RQ7HNraRZlVX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cec78ade8bd188 |
|
VISUAL
aHash
|
ffc3c3c3c7c3c3c7 |
|
VISUAL
dHash
|
0c1e161e161e1e1e |
|
VISUAL
wHash
|
e3c3c3c3c3c3c3c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0c1e161e161e1e1e |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.