Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D663A562025473FE06A352A26B39674BB3E48009FB1306D466FDC36D1FDAC54ED7368A |
|
CONTENT
ssdeep
|
768:bUUUs2UUUsnphIIIIImLrpLD+UUVwq8MqGfoDne7xgdVg8Y1j/Qv:KhIIIIImLrFD+UU+dM5fKe7x1j4v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d2696b4b46499b6 |
|
VISUAL
aHash
|
7e3c18181818183c |
|
VISUAL
dHash
|
f471f0323ab23271 |
|
VISUAL
wHash
|
7e7e7c381c1c183c |
|
VISUAL
colorHash
|
09007000000 |
|
VISUAL
cropResistant
|
f2f0f0f0e8d0e0e0,f471f0323ab23271 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.