Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6E299726140673B01A392C6B290E75EA3E3838ED34A151657FD436D0BE3E50EE3766E |
|
CONTENT
ssdeep
|
768:WQePESvSYKfO2alw3Gn80Rn17sOy2+y9BH4crIe:Em5+j7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d260f9328d6d96e1 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
988cc4e0cc0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04304c4c4c4c2004,0080800058988000,9888ccc4c8cc1cc3 |
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)