Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAD3A4D55618138CA14BCA7CFF2FFE05131FB1AABA5546802A4EC26896CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:Sz0RQ7H+7Y+9VmxXB+kgc1ztsDhah0psaXmAXqF9lFsR8MLqc3EFsR8MLqce60:A0RQ7HcYmVmxXUkgc1ztsVaqVZY2bG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3a93c3ccc4c333 |
|
VISUAL
aHash
|
ff81818383ffffff |
|
VISUAL
dHash
|
611b1f37374b1e9e |
|
VISUAL
wHash
|
ff81818181e7c7c7 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
611b1f37374b1e9e,1559692852c63435,3331dad8cdcd2d2c,d95845450386848e |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.