Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117620DB0A0905E3B98D787E4E230AB1F73D7D369C917168A83FAC7A84FE9D64DD41490 |
|
CONTENT
ssdeep
|
192:bSY9xRiXUuM2L+mYfLUlkiy8iFLeqIDeFDOfrE:O2iXUxeJY4e1FLEDIOfg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd48d2d0a5f452ad |
|
VISUAL
aHash
|
7c3c18181a3cfeff |
|
VISUAL
dHash
|
f0f072f272f0f0f0 |
|
VISUAL
wHash
|
783818181a3cfefe |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
f0f072f272f0f0f0,66626a2626262e2e,5b5b1bdbdb9b9a9b,e5b9bca7b9adbdf9,1913264cd8b16185,50220e283c1c8028 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.