Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A225F33F100DD2A8D9B66CCF2C49A89511ED346FB3148CAA1A491BF7BC4DF0699939D |
|
CONTENT
ssdeep
|
192:wU3JAYcDcbchNSxPy2xtqgMcnthWeNWbdkiVfMmUU8VCo5o:lcDcbchkxmFrVfMmUFCo5o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333dccccc0707cc |
|
VISUAL
aHash
|
ef870727ffffffff |
|
VISUAL
dHash
|
5c4c4c4c00480000 |
|
VISUAL
wHash
|
470707070f0f0f0e |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
5c4c4c4c00480000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.