Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123234A726722B5A843DB91EEE73C2D56B2D1589DF8CB4410F5C95ACE23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:akbaN+EsZx8/G8C4mDaw1pM5BbweM5BOwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqS:akbaN+EsZ/8VmDawnM5BbweM5BOw0N2a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2fc4c42c92d293 |
|
VISUAL
aHash
|
83838b8383ffffff |
|
VISUAL
dHash
|
071b4b5b5b004400 |
|
VISUAL
wHash
|
0301010303ffffff |
|
VISUAL
colorHash
|
17000200058 |
|
VISUAL
cropResistant
|
071b4b5b5b004400,252aba235e5c35d2,80b087d3d2d2fe7e,b6ddc6b7310ccc31,2c8b8ca4aebecc8c |
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.