Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1906362705301212E915747C5B6A0EA6DF2AEF7D5DF23698CF37C819317CEC988E962A0 |
|
CONTENT
ssdeep
|
1536:JJW1X73HXP7BDvi0TpphB9BeLbk0tDS0tb+:JJW1X73HXP7BDvi0TpphB9Bsk0tDS0t6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8987663c36b332b6 |
|
VISUAL
aHash
|
183c3c3c18181818 |
|
VISUAL
dHash
|
71f0f0f0f0b2f0f0 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
39240010000 |
|
VISUAL
cropResistant
|
aaaeaebebeaeae8e,71f0f0f0f0b2f0f0 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.