Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D133E1C054ED3B435346D8A7F66B4BB791C349CF02094493F893AB5BCACA0CB1669D |
|
CONTENT
ssdeep
|
96:TkCFq4zHcQWSTNtL9VP8wEBFBGXrHFBGXzHFMuXBX/75R:Qoq4zHcORR9WwE+AtXn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8000cfff3b39e4cc |
|
VISUAL
aHash
|
0f070707ffffffff |
|
VISUAL
dHash
|
dae8acda30000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
dae8acda30000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.