Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD2A7316020263752D7C2C9B762E36AB3A3538EF746091553FD83AD4BE3D94DA3352A |
|
CONTENT
ssdeep
|
384:rnSby5N8NqbDbIYQzG/Mi81J9sA84MULp/4gss5haKIYsOy2+y9BH4cCUIe:DSby5N8GDOE43/hh7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12cd1c91e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8cc3c00 |
|
VISUAL
wHash
|
40f66800206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,94ccccc0e8c9cc3c |
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.
Pages with identical visual appearance (based on perceptual hash)