Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5F174F0D454DF76435282E8A7BAA79B36F1C244CE46194853F883AE5FC9CB0CE25E58 |
|
CONTENT
ssdeep
|
96:TkQhc8EzSJOMbStqRjJzDDtmMd4VFnIlXuHFyBNXOHFSxXgX/MM/J:QYc8EyV5JzHYMKpUKfXv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcbc43983cc343bc |
|
VISUAL
aHash
|
ffffffffdfffff00 |
|
VISUAL
dHash
|
0030203030c00000 |
|
VISUAL
wHash
|
f0d080801f7fff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0030302030200000,0000000000000000 |
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.