Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E5153B79004CD1A1A61C9A4EDE5F20DDF5389A9C64A1AC5C2E8C7AF39C1FB0C4523CC |
|
CONTENT
ssdeep
|
48:nHR4v7l47Ijj3PVRjjOAhduvx9tC4QR+C2Ajct7yr:HRILh+tuRXxjH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a222225d5d5d5577 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
904d0c0008000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
910d0c0000000000,0000000000000000,0000000000000000 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)