Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163D28332A1002B3B02A7D3C97762B71E92D3924DE749085653FD876E0FE6E40DD6362A |
|
CONTENT
ssdeep
|
768:8SXy5Nz5P95kC1U1XVnzxYzoDpPm7sOy2+y9BH4crIe:kP95kC1U1lyzohm7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d0299683 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c3c3cc4cb600 |
|
VISUAL
wHash
|
80fd31300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,0c09cbc3c3cccc36 |
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.