Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177D2C8327110273B52D7D2D8B761F31EA6E38649E746081592FD83AD0BE3DA5CE3352A |
|
CONTENT
ssdeep
|
768:IScy5NsIKJCsqJPTznlap7sOy2+y9BH4c1Ie:pKCap7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc28d3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cccc2e2c8cdc300 |
|
VISUAL
wHash
|
00f7f0303004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
008080024c888000,9c8ccec2c2cccdc3 |
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)