Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC1200F2E051D936076381C1B6B6BBAE77E2C249CF431A2413F813AE67CED9199064DD |
|
CONTENT
ssdeep
|
96:TyI6O99z8h7MSJtVSTtpfhUSPRttkgnvhbVSgSThckSgSTRg51SgSTRiBSgSTAvR:L9z8hhI7/BnvhAZu9ZNg6ZN5Zcvc8U8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b079c7c70178937a |
|
VISUAL
aHash
|
ffffc3c3c3ffc37f |
|
VISUAL
dHash
|
081a9e96960e0ec0 |
|
VISUAL
wHash
|
81c3c3c3c3c3c33f |
|
VISUAL
colorHash
|
06680000000 |
|
VISUAL
cropResistant
|
081a9e96960e0ec0,7faddcffbfafcfff,d39b13b133333323 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.