Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C37329A83919F5265AB343A710DF14037378122B580D4C60B254FD9FA6FCC9AB16BFDA |
|
CONTENT
ssdeep
|
1536:HF83sQDlUuRNka2wblHbJLwLIz9GguGOjjRnK:H2sQPrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d92672982772cc73 |
|
VISUAL
aHash
|
980400c3c3dbc1c1 |
|
VISUAL
dHash
|
300c4d040eb21d0d |
|
VISUAL
wHash
|
988de5c3c3dbc1c1 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
8000104d4d100080,300c4d040eb21d0d |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.