Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4F355230218692A4437C3D475759B77D2BAD98BFAA70A404FDCC7B637EAC50B81B16C |
|
CONTENT
ssdeep
|
1536:mOyhUgQmTa3MZo+Hd1+e0Q1jjC3leZedYOVfHaIVgRfKx8yI:mOyhOQOb3uehHaIVgNyI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49be49b6c83932c |
|
VISUAL
aHash
|
fd9c1e1811fff3f3 |
|
VISUAL
dHash
|
0934bcf1632a2727 |
|
VISUAL
wHash
|
fd1c0c0001bff3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
0934bcf1632a2727 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.