Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6E35431C6A50337D215478AE39B3B56629BD2C7CC927CA4F2A48135CBBED482C76DA1 |
|
CONTENT
ssdeep
|
3072:NlaL6KJdrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1UO:3aGKJhQ5Ixf3NKO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f312ada6c7996838 |
|
VISUAL
aHash
|
ff00000420e3fffb |
|
VISUAL
dHash
|
27089c5c4cce3212 |
|
VISUAL
wHash
|
ff00800420f7fbfb |
|
VISUAL
colorHash
|
0f401008040 |
|
VISUAL
cropResistant
|
4822270229ab0c08,a636723869f4f2d1,14584c4cce221332,04828c8c8c9c9200,489c14584c4c4dce,9ffe7e1d6f16379b,9f8d0d8c8f232660 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)