Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6634130B900993701CB56C4A6365B6A36E69354CA130588FBF487EE2BEFD6DCE37164 |
|
CONTENT
ssdeep
|
1536:1+YsIxqtPHZHy6H9DHBmGaEnlq9XPr3TNP9x7efwWqcP5E1eeeJeeeheeezeeeey:1rI571Ek777m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e54e9c2ac7473c1c |
|
VISUAL
aHash
|
ffff00200000ffff |
|
VISUAL
dHash
|
631324c0da3a9a34 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
1a007000000 |
|
VISUAL
cropResistant
|
64e418872b2b1060,b680888080808080,0a80940236b6b626,60646564e4656464,646444c0da3a1a12 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.