Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B51EB356005E53B0897D3E16631A3AF73D4EA46EB4709A152F8837D1FD7E8AEC36240 |
|
CONTENT
ssdeep
|
48:Tt8t0EytChgMQbzSVVmCxUYO/Zqb5lrA+7evnkbuKfmRCQO666/m:TtkH7USVsHxA5lUD2uKfmzl6r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3664c6666195d33 |
|
VISUAL
aHash
|
00e7e7e7e7efffff |
|
VISUAL
dHash
|
0c0c5c4c4d08189a |
|
VISUAL
wHash
|
0000c0c3e7cfefef |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c4c4c4c4d18589a,0010083232080000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.