Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FE34431C6A50337D215478AE39B3B5662DBD2C7CC927CA4F2A48135CBBED482C76DA1 |
|
CONTENT
ssdeep
|
3072:llJVKJ2rjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1aI:vHKJUQ5Ixf3N4I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f312ada6c7996838 |
|
VISUAL
aHash
|
ff00000420e3fffb |
|
VISUAL
dHash
|
2f089c5c4c4e3212 |
|
VISUAL
wHash
|
ff00800420e7fffb |
|
VISUAL
colorHash
|
0f401008040 |
|
VISUAL
cropResistant
|
902a2f230aaa0c08,a636723869f4f2d1,14584c4cce221332,0082949484949200,489c14584c4c4d4e,9efffe1b5e2e561b,9f8d0d8c8f232264 |
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 200 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)