Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAE24332520C5D2EB3078B92F6327379719F924BDA8E6108F5BD12B147C7D8AAC3B159 |
|
CONTENT
ssdeep
|
384:ekmoXsIf9ThSTgAW8s3TgAWRd4XgTgAWfV1TgAWZ/0WTgAWTLCpjld:ekHXXX55cRdUjdGZsVmjL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b430cbdb9ccf3430 |
|
VISUAL
aHash
|
ffc7c3c3c3c3ffff |
|
VISUAL
dHash
|
ab9f9796969e30b6 |
|
VISUAL
wHash
|
434141c3c3c3cfdf |
|
VISUAL
colorHash
|
0ec00008000 |
|
VISUAL
cropResistant
|
ab9f9796969e30b6,45b161e1d8f1314d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.