Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119F260709512A93B01D3E2D233759B5EB3E0C288CE63270926F8C35D1FE6DA5EE56324 |
|
CONTENT
ssdeep
|
768:AigBRMLIzwvaTGPS78CIq7m+zQG4LrPHQ1fFBLAnLbxo:AiIRML8wvaTGPY8CIq7m+1aQ1fFBLAnC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4aa6b6db5145645 |
|
VISUAL
aHash
|
011f7f7767020000 |
|
VISUAL
dHash
|
9333d4dcc656fec9 |
|
VISUAL
wHash
|
03ffff7f77020000 |
|
VISUAL
colorHash
|
38207000000 |
|
VISUAL
cropResistant
|
e6e2e2e2e2e2f8f0,9333d4dcc656fec9 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.