Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1740240E1D094DD32071281D6BBF67B6B76A6C309CB010E9453F853BA57CFCA1C6226A9 |
|
CONTENT
ssdeep
|
96:TkJHyTzQTf/RhkzyjmSZH0ZzwvFz4eGXmHFFeetXK2HF0eGXzX/Lljt/QI+AT431:QtyTzQTf0zaHosXtKeU2BYXppQi8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707f0f901f8f0f4 |
|
VISUAL
aHash
|
3f37373f3f3fff7f |
|
VISUAL
dHash
|
616e6e686c6c10c0 |
|
VISUAL
wHash
|
3f002123013fff3f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
616e6e686c6c10c0,f382b4b6b6b482f3,0836616136081000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)