Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D337EE83842E92299B781D750EB350A337DA21B640D4560F358EECB79B446AF067FD8 |
|
CONTENT
ssdeep
|
768:teOTvnvG3e2/0CLD9C/tw4YZq5YZquYZq4PSM+R4lv/6mIv69VzipsBqSzwH+clB:RCZqmZqvZqT+lvTQxQ2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce86cc33699c93 |
|
VISUAL
aHash
|
ffffdfc3c3c3c3c7 |
|
VISUAL
dHash
|
2a4c96969e969e8c |
|
VISUAL
wHash
|
bfc30303c3c3c3c3 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
2a4c96969e969e8c,1515151515159501,7878f8783caca1b9 |
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 4426 techniques to evade detection by security scanners and make reverse engineering more difficult.