Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188234B726322B8B843DB91EEFB382D56B2D1588DF8C74454F5C95A8D13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G844ZDaw2McBPwIMcBQw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:ai+EsZ/8rZDaw2McBPwIMcBQwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a95953695c5c1 |
|
VISUAL
aHash
|
8781818181ffffff |
|
VISUAL
dHash
|
0f31713115000100 |
|
VISUAL
wHash
|
8180018181ffffff |
|
VISUAL
colorHash
|
17600050000 |
|
VISUAL
cropResistant
|
0f31713115000100,1731b3e1e9713111 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.