Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140E29531A060963B42F7C1C8BBA17B2DB2E78349C68A145596FD87F90BD3E08DD33695 |
|
CONTENT
ssdeep
|
768:oerwsquq+l58nkreXaT7lum7sOy2+y9BH4c1Ie:gsqupZeXmlum7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd3ab838c4b3 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
68c0c0c0c8c4d300 |
|
VISUAL
wHash
|
007860706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,29c8c0c0c8c8c4d2 |
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)