Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AE2B631A015A83F06A762D1E7B1B76A23D5438DD903072A42FEC75C5BEBC54ED2B8E4 |
|
CONTENT
ssdeep
|
768:3YkgII9TuBTIIIIIoh1LxXxwl3Qa6wiYqRmSI5Fsyn:3YkgII9QIIIIIoh1pxwl3QveqmSI5Wo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e37d1c1969c6c6 |
|
VISUAL
aHash
|
00c1f7ef7f3c1818 |
|
VISUAL
dHash
|
878fcfdbf5e1f0f0 |
|
VISUAL
wHash
|
00c1f7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000606168640000,878fcfdbf5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.