Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6917222E1432C2B163359CABFA7E34EE0D2971FDA714D94B2FC87A907E6D11993141B |
|
CONTENT
ssdeep
|
96:sJAeZuXyuQXRBsPSgHyR/O3XUNkmwCp+g7NK/NOw/:sJAeZuPQXxgSqdFH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9393ad929338 |
|
VISUAL
aHash
|
f3f3d3d3f3ffffff |
|
VISUAL
dHash
|
2727262626c43836 |
|
VISUAL
wHash
|
f3d19193911c878f |
|
VISUAL
colorHash
|
06200048003 |
|
VISUAL
cropResistant
|
2727262626c43836,f8f9e1e6e7e5e5e1 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.