Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188C29671A110263F02E7C2EA7351B71E92E3D34ED685181693FD876E1BE7E40ED2352A |
|
CONTENT
ssdeep
|
768:GSXy5NcuOlk4+tWk2GEtLCoFtAQ7sOy2+y9BH4c1Ie:2Olk4+tWk4BCokQ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc32d92c8682 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49e3c3c84ce600 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,1409c3e3c3cccce6 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.