Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FE15060D069CC27425781C9B2B59F8E36A1C344CB331B0427F993BA6EEAC7AED55248 |
|
CONTENT
ssdeep
|
96:Tgg5ge2m4lOK9Ho9rK9+O298np9V998301C5g2K8UnKAkRhfTKDI:3+h9I9u9K98p9D98Ewi8UnKAYhbKE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eacffb213f1ca100 |
|
VISUAL
aHash
|
f9f97c1801410181 |
|
VISUAL
dHash
|
5341e171cb9bab1d |
|
VISUAL
wHash
|
f9fd7d3d014141c1 |
|
VISUAL
colorHash
|
1ae00000040 |
|
VISUAL
cropResistant
|
5341e171cb9bab1d |
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 169 techniques to evade detection by security scanners and make reverse engineering more difficult.