Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E227470027E283E61A383E9BB09533633EED1C5DAC1410497FCC77E16AAE96EC76954 |
|
CONTENT
ssdeep
|
192:62FaSp4vzsvwAVk43OPH3wxk1CL6xPiW4ke2N5:62ivzsvwAS43CXwxk1Y6xPH4ke2j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1c63e3c939363c |
|
VISUAL
aHash
|
0000003c3c000000 |
|
VISUAL
dHash
|
48383c32320c2000 |
|
VISUAL
wHash
|
2e3e0e3e7e1ec0c0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
903092a2e2828a82,48383c32320c2000 |
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.