Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147234B726332B8A843DB91DDF7392E46B2D2988DF9C74550B5C956CE23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:a+ED+EsZx8/G8L4RF4QuDatsM7Bht6M7BfwZUcix+y9dQpUDF1E56ITmHDLBABW+:a+ED+EsZ/8LSOQuDatsM7Bht6M7BfwZv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac4c56dc9911b |
|
VISUAL
aHash
|
8181858181ffffff |
|
VISUAL
dHash
|
270d492903000100 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
16000e00000 |
|
VISUAL
cropResistant
|
270d492903000100,1fdfceaee6ced060,e3250cdcec082804 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.