Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173618BB19809CE331283D2E497B92B0F22D0D34DCA935B0A53F5876C5FDBD88EE16150 |
|
CONTENT
ssdeep
|
48:TOd4LGzBM4bz7yhnH+K0u0l0b0EHuXo5BwElEnx:TO2hKzK4zY5M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
888c72670bf7671a |
|
VISUAL
aHash
|
225c39181930840c |
|
VISUAL
dHash
|
4a9555f273620dd9 |
|
VISUAL
wHash
|
2b7d3d7e0930ec0c |
|
VISUAL
colorHash
|
38202008000 |
|
VISUAL
cropResistant
|
4a9555f273620dd9 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.