Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CE2024ADB30493346134B94BAEBA7E941386215EA5618FAE3789237678FCDC3347743 |
|
CONTENT
ssdeep
|
768:NzLiTCjk7EFzI8idic59iTiRiLiYi1eA1i/ibiHiPididiuijeLtiZiOi/iBiYiP:q4Judn2wupMeCieKaAorue5kTqMl4Do2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f01e4e310f608fcf |
|
VISUAL
aHash
|
007effffffc3c3ff |
|
VISUAL
dHash
|
26e85496969696c0 |
|
VISUAL
wHash
|
003cfec4c383c2ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
00000000000040c0,e864949696969640,c0e0432b2343e4c4,4541012121814145 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.