Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107F152E2D450ED3B471286D9E7B56F4B7691C34ACF07094093F883ABABCAC60CB15599 |
|
CONTENT
ssdeep
|
96:TkfnRzHH1tDlUbw5t7QLwvFkexXQHFTebtXHIX/Wyt7j6pt7DhJ:QfnRzHH15lUbw5mMSwSX+yxy1n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec13939b43c31a |
|
VISUAL
aHash
|
fffffbffffff0000 |
|
VISUAL
dHash
|
0626262620d62000 |
|
VISUAL
wHash
|
f383f3f19fe70000 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
0626262626263006,781d6a724824da06,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.