Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5F131E0C454DD3A435286DAFBB56B1BB7E1C349CF06094493F883AB9BCEC60DA11699 |
|
CONTENT
ssdeep
|
192:QHgu/zYhhjpl8iIgw6307HXAaX0y3WEiElc:QHgwGj/17wO07HwZWWEX2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b6c65936c |
|
VISUAL
aHash
|
fff3e3f3d3ffffff |
|
VISUAL
dHash
|
2006262626000600 |
|
VISUAL
wHash
|
00f1c3c3c0fcf0f0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2006262626000600,fcf0b3fce0f9fcff |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.