Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13483B832D3531503D0A7C5D8B1724B4A73618A59CA134BB577FD23BAFACECB53622298 |
|
CONTENT
ssdeep
|
1536:dKD0BpfmKQXHZeeMXeSHDweKPUgOq61qE/kHZUevcEUkCQtlEUQcyFDsyVaAa2U9:zpmXY1jKPUgOq6oRaRzBxk222I22222C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4cfcb389093cdc4 |
|
VISUAL
aHash
|
ffc1ffc7c3c3c7c7 |
|
VISUAL
dHash
|
c222e28c8e8e8e8e |
|
VISUAL
wHash
|
7ee37ac74242c346 |
|
VISUAL
colorHash
|
03200030040 |
|
VISUAL
cropResistant
|
c222e28c8e8e8e8e,89d2b2b0a9a0b2f2,099924f031372b2b,d7693248eccc442c,6f2b392b2b3323dc,1793d3d44d698271,9597a3a894e0e090 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.