Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCE2C87171107A3701A782C9B3A2F71EA6A39209E746181593FEC3AD0BE3D54DA3753B |
|
CONTENT
ssdeep
|
768:ZSky5NJEYDn2STTGv+UiJF7sOy2+y9BH4cLIe:DYCQx37sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed0ec3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9288c8c2caccec00 |
|
VISUAL
wHash
|
00e4fc702024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d28cc8cac2c8ccec |
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)