Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F203C5A3B1803A7903D262A2F3592E56E7A58148C7621DE195EFC30F6FC1DE1D4B3396 |
|
CONTENT
ssdeep
|
768:4f9PxAV0AoIDV6CoE61bY3h+9gpYMZGGhf5:yPeV0AMCoV1bk2MZGq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc93dd806d637866 |
|
VISUAL
aHash
|
7eff002010183898 |
|
VISUAL
dHash
|
d0f0c4c86030e071 |
|
VISUAL
wHash
|
7eff3c3c30183898 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
e859686de8ea6868,d0f0c4c86030e071 |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.