Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10981BD71954A4D270A33C8D884E92F29A1C2F31FD610A0015ABC81CDCBCFFA47A6E9DC |
|
CONTENT
ssdeep
|
96:1mAK4TjJAcy6feQetAhWPFPe4IdcSTdjSTBIrRYZVZlZg5ZXZSMkZnraxz:1mx4TOZPdgoK2DfkdkVJI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9e2329cb672d8e4 |
|
VISUAL
aHash
|
7c7978787a181800 |
|
VISUAL
dHash
|
e9f3d3f2f2f2f0e0 |
|
VISUAL
wHash
|
7c79f9787a3e1800 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
e9f3d3f2f2f2f0e0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.