Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146325133A600CD298D9796CCF6C09589511DD34AFB3248C6B2B491BF7BC4DF069A93AD |
|
CONTENT
ssdeep
|
192:hz3J8d0ELbox2AJqaMcnthWeNWb3PWEKjVfMmUU8VCoAN:s0w9AE1PWEKjVfMmUFCoAN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b230cde3cdcc70cc |
|
VISUAL
aHash
|
ffc7c747c7c7ffff |
|
VISUAL
dHash
|
0c9d1d9d9d9d8c00 |
|
VISUAL
wHash
|
c00000000000c5fc |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
0c9d1d9d9d9d8c00,aa82e23a1baa86b2,fef879fee969feff |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.