Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145D382D56618438CA047CAACFF2FFE05131FB5AABA558580298EC268D6CF8D1F71752C |
|
CONTENT
ssdeep
|
1536:ur0RQ7H0IQv9xGDEQGbwFsR8MLqc6JFsR8MLqcev:20RQ7H39DEJfk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b3630cc666b199 |
|
VISUAL
aHash
|
ffffffffff0000ff |
|
VISUAL
dHash
|
080c0c0c00040808 |
|
VISUAL
wHash
|
240000200f0000c7 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
08080c140c0c0008,0000300c0c080000,0106060100000000 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.