Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EC2B932A0102A3B91A392C67361E72FA2E7524EE747091552FD83AD0FE7D94DE3341B |
|
CONTENT
ssdeep
|
384:USby5NyIyIZ68wfo8bfGTL4Vyegv2LKprb7TrIYsOy2+y9BH4ciUIe:USby5NyIUeT043YK17sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc32cd1c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8cc3c00 |
|
VISUAL
wHash
|
40f66c00600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
d245734d4d715596,1080800458988000,94ccccd0e8c9cc3c |
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)