Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C723D8B0E289BC57429391DAF011F7D9A1A65729DB101DA4BBEC41F6B7CFCB20873126 |
|
CONTENT
ssdeep
|
768:jiW2H6GkuoS5Z5z5WraO/J0Ft6Bl9nDLLCZ6OlTDyDnhC6Q3COWQ0ksdqzd7gqtb:CT6OlTDyDnhC6Q3COWQ0ksdqzKUtzoip |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9523cecc54138bc |
|
VISUAL
aHash
|
00000000dbc3c3c3 |
|
VISUAL
dHash
|
9cc9c9dc2323232b |
|
VISUAL
wHash
|
00240440ffffc3ff |
|
VISUAL
colorHash
|
32006000000 |
|
VISUAL
cropResistant
|
2b2333232323232b,942dcdc9c9c9ddd4,5bb6b64b53535353 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.