Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18ED33BB13714A13A55F387A6A0DB3321E1749D1BD80FDD30B264E86523DAC9AD16BFB0 |
|
CONTENT
ssdeep
|
1536:agCdXcSa1ZGnYiUNj4dnkAu+wjPzI/npXPvbpWpFo2h20VTgHd8tVPTMnEXCd0u+:YwGRu+wjPypXspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c646b8b83869bbb8 |
|
VISUAL
aHash
|
00303020ffffffff |
|
VISUAL
dHash
|
61e4e4e44d082b2b |
|
VISUAL
wHash
|
0030303030ffffff |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
00686129696400a0,989896a080825151,b00c0c232b2b2b00,e4e4e4e4e4e4e4e5 |
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.