Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F2967111115A6F23638AE4B651FB9DA19AF308CE5FE64CB3FC12A727CFC808D16199 |
|
CONTENT
ssdeep
|
768:8X6Gjpm4vEBAV0uBwGD1JRTEH64g9JZgXBlJbYIYAY03WRYY0HYBYcYiCYCYy:c7VH2QPRTEPWREn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
981b66e2d9c9f921 |
|
VISUAL
aHash
|
0000181c18998381 |
|
VISUAL
dHash
|
7169b2b2b2b20e86 |
|
VISUAL
wHash
|
000018dfdbdbdfc3 |
|
VISUAL
colorHash
|
16401008001 |
|
VISUAL
cropResistant
|
ccac9ace8e8c6969,7169b2b2b2b20e86 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.