Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130B2543290C8A93B069382D19A312B6FF3D58294DB132B41A6FDCB4D4FC7E49CD27566 |
|
CONTENT
ssdeep
|
384:+vxMnrkw/f6V6B37EG98hYTW1g35P64EweQ+8by:qxMnr1AGm2DEweQvG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807e777a082a7778 |
|
VISUAL
aHash
|
00ff677f7f7f7f7f |
|
VISUAL
dHash
|
a0b08cb2b28ca080 |
|
VISUAL
wHash
|
00405e7e3e1e3e7e |
|
VISUAL
colorHash
|
07200018000 |
|
VISUAL
cropResistant
|
a08084b2b28ca080,4001014000a0e0a0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.