Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14273C832D3162003D0AB95D9F1625B4A3351879AC6134BB567F827BAFECDCB53B11398 |
|
CONTENT
ssdeep
|
1536:HKC3uwz895pNX+uPUgOd6hymH84Wa5w72fFoee5xezCwSJmNHtzJsWXxre4IYJNy:G9dOuPUgOd678h6tdX3hk222I2222225 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e92e3ccc33938cc6 |
|
VISUAL
aHash
|
c181fbebebfbfbc3 |
|
VISUAL
dHash
|
0b27d3dadab2d29a |
|
VISUAL
wHash
|
818168cbeb58fbc3 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
0b27d3dadab2d29a,8850c8cc2463c7c5,4b433198d8d08c4d,676b392b2b3323c8,9593e31ce0f080e0,656caca785842467 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.