Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116011279422296178B2305C4AED3E72B96C2034DDA461E1016EDF39C07FED94DC65150 |
|
CONTENT
ssdeep
|
12:hRwMy7FU7RkUuETQZ4nGmBobOAmnEX/29L6z6G9S/Wc1kfxRRxoj:hR/CkRkUu6QZ4RwOw/2dNG9SCxoj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c466999966d999 |
|
VISUAL
aHash
|
7e7e3c1818180000 |
|
VISUAL
dHash
|
f0e0f0f0b2f04c10 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
fefcf4b2b2f2cce0,f0e0f0f0b2f04c10 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.