Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DF2A78B3204A5E4C1F387D8A91125947087EF9ECE7287B082E84E3617E35A567C9F7D |
|
CONTENT
ssdeep
|
768:sWdQolHmSJji45HtCxQhs4jY7yUjJoHXSu:sWT1j1M7zu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5d22dd2d22dd2a5 |
|
VISUAL
aHash
|
ffffffffff030101 |
|
VISUAL
dHash
|
909884e89c9602c6 |
|
VISUAL
wHash
|
ff7e7e7e7e000000 |
|
VISUAL
colorHash
|
0fe00000000 |
|
VISUAL
cropResistant
|
9ab08c86e8e89c98,94c4ca8a84118e8c,9c9a988e123606c6 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.