Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0D2AA71A2207A3B41A7D1D672A2672AB2E3434FE7460511A2FD83BD07F3D14DE67329 |
|
CONTENT
ssdeep
|
768:beZD5O5J3pyO4Q5s5hHW7rihKT07sOy2+y9BH4c1Ie:+55H59WawT07sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d205b434bd34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c0c88c8c00 |
|
VISUAL
wHash
|
027c7c300064ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccd0c8c8cc8c |
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.