Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FC2A93171006A3F41DBD2DEB773B32EA2E3824AD656085592FD83BE4BD3D64C923526 |
|
CONTENT
ssdeep
|
768:UScy5NBbn/fOhSwaKa6sjvt7sOy2+y9BH4crIe:jnn6Xgvt7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763b43add28c6c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
14ccc2c2c8c9d300 |
|
VISUAL
wHash
|
00f7f0302024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2c2c9c9f3 |
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.