Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12324226379163522103FC2DB606B173ED1D1DBCBFA930B815AF8C3BA1AF9C90B656158 |
|
CONTENT
ssdeep
|
1536:iKgMWZRTksPEGIhIEBa4QjoosmyIVlC0k99LeLVRRuzt4u7OG77OGW7OG/7OGQIn:ixbjtsv8g7JfJYJTJrhumztVdOM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6393dc638c3c726 |
|
VISUAL
aHash
|
2000706c74707000 |
|
VISUAL
dHash
|
ccc4c8d9c4e4c419 |
|
VISUAL
wHash
|
7e707c6c7c70700b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4ccceeb2c6f87f,800080e060800080,800080d0d0800080,800080c0c0800080,8080888c8ca08082,ccc4c8d9c4e4c419 |
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 973 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)