Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C073A5F284F480370789F6E076756B1F72C3C79BD5460BE2E6E843586D8ADC1AE2351A |
|
CONTENT
ssdeep
|
1536:QDgMkvdq3FGMq6COFXQdC3gfNgMkvdq3FGMq6COd2/v5AHqnXOkYJTFM6zq/0gTW:Qc5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e01f130f5e71662d |
|
VISUAL
aHash
|
0003c3c3c3c3c3c3 |
|
VISUAL
dHash
|
49268e8686869696 |
|
VISUAL
wHash
|
00ffc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e0002c0000 |
|
VISUAL
cropResistant
|
d896942ab696f84a,cedadb4eccd19696,49268e8686869696,2f33395572705468,2b335111d5727050 |
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)