Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184A38A33411935274437C6D530A55B3BD2E69A4FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:dyxkJGyfjm/N/SL1mptu4IiIahcVi7uRLz4NP/y9svbliCdnVIsn5kM+PjKjFtiD:rmAUVIsj+PjKI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430bd3cc54d |
|
VISUAL
aHash
|
02042000000000ff |
|
VISUAL
dHash
|
94ccc4c8c88c8cb2 |
|
VISUAL
wHash
|
467e7c20644e06ff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0080812030008080,d4ccc4c0c8988c8c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.