Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18213753055109D374283A3C4FB725BAF73D1C285CA130A4AA7F88B1EDFDAD92CE29565 |
|
CONTENT
ssdeep
|
768:NS3qjIbUtumLCuCNjZf/WhtXzvwERUf7K:A3qjIbU4mLCucZfacE27K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33e6c983cc3c3c3 |
|
VISUAL
aHash
|
0000242e3e7c7860 |
|
VISUAL
dHash
|
b5d4c8ccccc8c0c0 |
|
VISUAL
wHash
|
10102c6e7e7e7cf8 |
|
VISUAL
colorHash
|
30019000400 |
|
VISUAL
cropResistant
|
c1f0f078bcb4bc3e,fc9a40061e0e6012,b5d4c8ccccc8c0c0 |
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 1485 techniques to evade detection by security scanners and make reverse engineering more difficult.