Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1035174725003592B7307CDE4B5B1535E30A3824ADB831C1C92E46BBA6ED9CA6DC2B19D |
|
CONTENT
ssdeep
|
48:b5OouTUNJKVGPbrmsVNrVo8BXo4bTvbRr2eSulfTPEZaiNVu:VZosRHTk4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc336699998933 |
|
VISUAL
aHash
|
e7e7e7ffe7e7e7e7 |
|
VISUAL
dHash
|
4d4d4c164d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e000000206 |
|
VISUAL
cropResistant
|
0202020202020202,8080808080808080,8486b0f468515584,0200b2b286008f2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)