Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178F143E1C014DD36031286D5F7F56B5F7692C74ACB070A8463F883AB9BCAC70CE56A99 |
|
CONTENT
ssdeep
|
192:Q0OJH9oh4hDL8iIYdq4TmozJYM5iO9EjQR:Qtf1vw4iVM0OqM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b071cfcfc7323032 |
|
VISUAL
aHash
|
fffbc3c7ffdfcfe7 |
|
VISUAL
dHash
|
00169c1c0036280c |
|
VISUAL
wHash
|
ffc3c3c3fc8084c4 |
|
VISUAL
colorHash
|
07000000580 |
|
VISUAL
cropResistant
|
00169c1c0036280c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.