Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA245218092573742A3B5E0B63A170AA6D28741CFB7074957FC975DAFCAC1DEE2BC21 |
|
CONTENT
ssdeep
|
384:q2yhkaveeekeeetJeeeQeeefeeeueeepeeefeeeQeeeneeeSBTD92/LROZG:qH+ceeekeeezeeeQeeefeeeueeepeee3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adb8923bd528c62d |
|
VISUAL
aHash
|
1f0f13938303097e |
|
VISUAL
dHash
|
583fb3373333b3d0 |
|
VISUAL
wHash
|
1f1f139393030b7e |
|
VISUAL
colorHash
|
0e402040000 |
|
VISUAL
cropResistant
|
c8c1c6cb9b9b8291,dcf0868e8e8696c6,c062c0c1c98183a0,9b9999909cc6c28c,79f8001a54545454,583fb3373333b3d0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)