Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107431CA93845B1164B7340E350BF298AF33E182FA80C55A1A164DFE575B84F9606BF8F |
|
CONTENT
ssdeep
|
768:RyWufPcNwGHzuyT9H+/vFD5s/WWX8UvT79Mv84mThztEpnTIy9QSnmUdSxHyOzxs:JkOWqyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16464cecf9b9911 |
|
VISUAL
aHash
|
e3c3c3e7e7e7efe7 |
|
VISUAL
dHash
|
0e869e1e0c0c1e0e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c7c2 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
0e869e1e0c0c1e0e,5652632333333326 |
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 475 techniques to evade detection by security scanners and make reverse engineering more difficult.