Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186D29631E150363F41ABC3C9BB61F76A92E3924DD745080593FD83AE4BE7E90D92346A |
|
CONTENT
ssdeep
|
768:o81Szy5NJgjSIm4nT+f9d8EZ0DYZuHl9AK/M/4sCceuCz8d2m7sOy2+y9BH4crIe:Knu8sCbw7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341c53a963cbcbc |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c0c3c3c8cd498900 |
|
VISUAL
wHash
|
60fb70300401ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c2c3c2cccd8909 |
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.