Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BE2997260406B3B01A396C6F391B75A63E2834ED74E091662FD836D0BE3D50EE2775E |
|
CONTENT
ssdeep
|
768:IQejd7ATUpVIW5IW1aGm9rZYJ7sOy2+y9BH4crIe:GmuZPS27sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c242f93a9d6d96c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d8c8c4c0cc0cc300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,d888cce4d8cc3cc3 |
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)