Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EC2D73160006A3B52E7C2C9B361A32FA6E7638EE796051582FD83AD4BE7D50DF33516 |
|
CONTENT
ssdeep
|
384:+Sby5N80eIO7JIGo1Eru408PAMprIA840IIYsOy2+y9BH4cUUIe:+Sby5N80qjDTfpA4T7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d267fc12e91c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccccd0c8cc3c00 |
|
VISUAL
wHash
|
40f67400600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,94ccccd8f0c8cc3c |
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.