Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145D3B5B4A2C1597D1793C3E0FB35BE9F61AAE15ADB07824B41FC43AC16C2C89DC969C4 |
|
CONTENT
ssdeep
|
1536:x+aerZJ7E9M9gTntDEwbW9p24D30ch8dAqU4/i/OA4ElS0/8QD:BK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af3bbf44d4c05492 |
|
VISUAL
aHash
|
ff0000ffff0001ff |
|
VISUAL
dHash
|
0055155555b6d755 |
|
VISUAL
wHash
|
ff0000ffff0000ff |
|
VISUAL
colorHash
|
06201010040 |
|
VISUAL
cropResistant
|
0055155555b6d755,2c08dcf0e0cac6ac,262809980c2c7c16,a434323132a2b358,8e1e9c9ca8b494dc,1c3cdcd4b4787879,3b3a3e1135353529,50206868e869cc4c,3e3824a3ab0d2344 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.