Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147234A726332B87883DB91EEB7382956B2D6589DF8C74414F1C95ACD23C3C802297BB4 |
|
CONTENT
ssdeep
|
768:a/+EsZx8/G8P4oDaw9MLBYwHMLBUwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a/+EsZ/8QoDaw9MLBYwHMLBUwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3b6f6e94919190 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7171591737000000 |
|
VISUAL
wHash
|
00008d8181ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7171591737000000,200cb23228300c10 |
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.