Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EC2A930B0806A3B81C793D8B3B1D73E66EB928ADE17060642FC576C8AF7D81DD3A415 |
|
CONTENT
ssdeep
|
768:g1oy5NgUaDKfudpDf0CByeEF7sBLy2+y9l0K4/1Ie:+aDZfDfNEF7sBLy2+UuK4/1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36dfc128c0196ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cc8ccd0c0ccd900 |
|
VISUAL
wHash
|
00ee7000382effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5259658696655556,00c0c0004c888000,9448ccc0c8c0ccdc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.