Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1692275721005BC3A5253C1C39F24779FF2D2E21ECA47D601E2FA834A9FD2EA0DD91655 |
|
CONTENT
ssdeep
|
192:8PGCjBezCHbgVy/H3Bp3W3sJT5Y3vtTbhYkfBpQhqYv1X+UyJpZ8jbzAk6Kpl:8PGCjBezC7gVy/H3Bp3W3sJT+3VFbfB6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e699669999668699 |
|
VISUAL
aHash
|
ffffffffefe7e7e7 |
|
VISUAL
dHash
|
08080c1c104d4d4d |
|
VISUAL
wHash
|
e4e4e4e4ece0c0c0 |
|
VISUAL
colorHash
|
07000040006 |
|
VISUAL
cropResistant
|
08080c1c104d4d4d,ffff1f83f989e9f9,3ec2d83e2e2e2624 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.