Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBA21252210C4A95C2F34DE898212A807183D74FC87156B0D2FC4E7B5BD2AB5B799FBE |
|
CONTENT
ssdeep
|
384:2klle4GyP9bqRFY/WsTO/YrUjigIIgzzn+kI4C5LK4D0:OYOsqQAcn+kI4C5R0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a5aa552ad89 |
|
VISUAL
aHash
|
e7ffffe7fffcfcfc |
|
VISUAL
dHash
|
0e0c160c0c000808 |
|
VISUAL
wHash
|
00c7c3c3033c3c3c |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
0e0c160c0c000808,c4d4a892c840aaaa |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)