Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A235B726332B57843DB91EEE7382A56B2D2988DF8C74554F5C95ACD23C3C802297BB4 |
|
CONTENT
ssdeep
|
768:aK5o+EsZx8/G8NK4+Daw+MIBuwrMIBmwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aK5o+EsZ/8NN+Daw+MIBuwrMIBmwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2ecd3ae1a2d285 |
|
VISUAL
aHash
|
818185858585ffff |
|
VISUAL
dHash
|
61296d4d4d4d2d00 |
|
VISUAL
wHash
|
818185858585ffff |
|
VISUAL
colorHash
|
06e08000000 |
|
VISUAL
cropResistant
|
61296d4d4d4d2d00,146a6a90e4789c2e,8496828082c0f0fc,d8d67ddcb434989b,91d3ada1a1a31607,11a889b8f889a8d3,40606ccc8c8ccc6c |
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.