Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10641646280100D3B734382F816B1FB0AA1D5C3D9C9470A5456F863FC6FFADA1DC16189 |
|
CONTENT
ssdeep
|
48:pLb5ZaIPcKcJ38w2JSH5saaiVkYtNrcZHGZG+oxM+amKyC:t1/PBcNx5saasPrXZG+P+S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b23236cdcdc99931 |
|
VISUAL
aHash
|
c7c3c3ffffffffff |
|
VISUAL
dHash
|
0e8e8e0004000000 |
|
VISUAL
wHash
|
c3c3c3c30f0f0f0f |
|
VISUAL
colorHash
|
07000400038 |
|
VISUAL
cropResistant
|
0e8e8e0004000000,a32b337031280c0c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.