Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138B44EB077711676009F63E9B232631AB2C79399D7239AE8F3FC83555BE6C18DE52180 |
|
CONTENT
ssdeep
|
6144:tLTYx9uAPbRf75IUXgNmmVPkgppvKID8kwt/uEI0XENemZPIgBv55:z5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f676890972a54da9 |
|
VISUAL
aHash
|
000080800018ffff |
|
VISUAL
dHash
|
2b29240c89b02b4a |
|
VISUAL
wHash
|
1890c0c4c0f8ffff |
|
VISUAL
colorHash
|
06403008000 |
|
VISUAL
cropResistant
|
0100839333236363,0e1c989424d8ccce,e6e26a6272f6e464,24646460c8c65840,f020ab2a0b0b1400,e2292c240c8ca9b0 |
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 86 techniques to evade detection by security scanners and make reverse engineering more difficult.