Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1683262705268AD3E415380DAE37A2B2E31D592AEDF8F030067ED63F91AD7C59FC26095 |
|
CONTENT
ssdeep
|
192:M9mzxT+zC4dTor1ucfsh3l9TSguqTlchwT1KYDDcT+WnIIUA3/TzvyhiNQC:M9md+pRor1ucfsh3/SguKlchY1zDcpnd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5d81a3698c9d967 |
|
VISUAL
aHash
|
7e627a7a6262621a |
|
VISUAL
dHash
|
b2c6d696c6ceceb6 |
|
VISUAL
wHash
|
7e72727a6262625a |
|
VISUAL
colorHash
|
00040006000 |
|
VISUAL
cropResistant
|
f084c6c6c6ced6c8,b2c6d696c6ceceb6 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.