Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15893A5B3F07814B9426B81C2E138BF8AB1C3BE45D7C446C19AE553DEAB90D60FD4259E |
|
CONTENT
ssdeep
|
768:ORD4+P7/2chVGCuCp3JqaO4r9w1F9hqqaOXnNyG6PjYuv:ORD4m7/2chVlt/9w1F9hqqnw3jYG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4c63bd99999c985 |
|
VISUAL
aHash
|
ffe3f7fff7c00000 |
|
VISUAL
dHash
|
1da5259406075f27 |
|
VISUAL
wHash
|
ffe0f7ff87c00000 |
|
VISUAL
colorHash
|
07606000000 |
|
VISUAL
cropResistant
|
1da5259406075f27,532321298d81d935,0312020202030304,a4842e8737cf172e |
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.
Pages with identical visual appearance (based on perceptual hash)