Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E35175638108DD3B9260C0D8E570636C5ACD928E97470B59EAEC437D31DA5FACC2EDC8 |
|
CONTENT
ssdeep
|
48:qF6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:qERdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6c88d7337d89822 |
|
VISUAL
aHash
|
f0e0e0c0a5838307 |
|
VISUAL
dHash
|
020105020d160b2d |
|
VISUAL
wHash
|
f0f0e1f9c3838707 |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
020105020d160b2d |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.