Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1807395F294F48077068AF6E076756B1F72C3C38BD5460BE2F6E843585D8ADD2AE1341A |
|
CONTENT
ssdeep
|
1536:QDgMkvdq3FGMq6COFXQdC3gfNgMkvdq3FGMq6COd2/vvAHqnXOkYJTFM6zq/0gTW:Qcv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e01f130f5e71662d |
|
VISUAL
aHash
|
0083c3c3c3c3c3c3 |
|
VISUAL
dHash
|
49268e8606869696 |
|
VISUAL
wHash
|
00ffc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e0002c0000 |
|
VISUAL
cropResistant
|
d8a434489296f84a,cedadb4eccd19696,0c8e4e1ed9594922,49268e8606869696,a7ab395572385c28,2b335111d5727050 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)