Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E12532021001A6F5537A0F9FB30EE4EE186D749CA568F4422FD11F7BADFDD198922B6 |
|
CONTENT
ssdeep
|
96:TDFoYDcDW56Wn6W0Qv2F3rTsPRLp8+uwitta+BgaKWzj9WPzj9U2Szj91Lr4YiIi:P98hP6+wittaqKWfkPf6pfPJti |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ade656570257629 |
|
VISUAL
aHash
|
003c3c3c3c3c0000 |
|
VISUAL
dHash
|
6169696969696996 |
|
VISUAL
wHash
|
3c3c7e7e3c3c3c00 |
|
VISUAL
colorHash
|
02000000e00 |
|
VISUAL
cropResistant
|
8e8ecef0ccccb2ea,8acccccccca28cb2,6169696969696996 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.