Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D04330B19153096F9A47E0C9BB795F4AE1C6820BC7520E49B3F6834BDFC2D60FC89660 |
|
CONTENT
ssdeep
|
1536:KIIIDHNxMRN+eeecnJeeecw+eeecnJeeecV+eeecnJeeec4/k:BMck |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b847f8c621a6f706 |
|
VISUAL
aHash
|
0000000113ffdfdf |
|
VISUAL
dHash
|
cf994cebeb253516 |
|
VISUAL
wHash
|
0000000f3bffffdf |
|
VISUAL
colorHash
|
0a007200000 |
|
VISUAL
cropResistant
|
c888dc9beefb3e6f,a318a53534941613,cf9bc94c4d58ebe3,b49a0d4c46434543,070f0f17170f0f17 |
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 100 techniques to evade detection by security scanners and make reverse engineering more difficult.