Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15483EE36A27B1826911FB1E4A2B44B192643CB8AC7438BF6927C12F67BCDC753D1318D |
|
CONTENT
ssdeep
|
1536:bmtsWzT9f3AMOvb9y+M8EjOeWfeEpej9M6GFVeED3kMLzSATMJMgMiTivaieff2M:bmtsWzT9FOaa6yZLwW9GfpiDEeByAzdQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c329e929e616d |
|
VISUAL
aHash
|
2430007c7c7c7c6c |
|
VISUAL
dHash
|
d4d4c3c0c8d8d8c8 |
|
VISUAL
wHash
|
2030207c7e7e7e6e |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
d4d4c3c0c8d8d8c8,eee5490981915971,0000486979960000,0000c868e4680200,48ce8f8046667633 |
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.
Pages with identical visual appearance (based on perceptual hash)