Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0A307FAD3D8AAB5B10363D8F0A27355125B1039DF068EC8D76C42F8A3D4C998D77A91 |
|
CONTENT
ssdeep
|
768:YiW2pH6HOu6S5W5vJz/J0Fftc2CkHso/r2q5F0XgTZ+3dgP767:d75o/r2q5F0XgTZ+3mD67 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6ed0ab8966d8239 |
|
VISUAL
aHash
|
fffffffeee440000 |
|
VISUAL
dHash
|
21ccc6c4dcdc02cc |
|
VISUAL
wHash
|
fffffbfe0c000000 |
|
VISUAL
colorHash
|
08000038000 |
|
VISUAL
cropResistant
|
2100c4c6c6c4d8dc,49c90dafc6462797,c6c4cc9cdc02d8cc |
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.