Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128234A726322B87883DB91DEF7382956B2D6489DF8C74454F5C99ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aS9wq+EsZx8/G8P4yDawfoMJBUwQMJBowZUcix+y9dQpUDF1E56ITmHDLBABW8K6:aU+EsZ/8QyDawAMJBUwQMJBowZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb3a94c46e9494c3 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d59595941000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e017000000 |
|
VISUAL
cropResistant
|
4d59595941000000,0000080c0c000000,c68c98b8dcb8c880 |
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.