Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100C2D83257865B37114393C5BBB3E74BB7818289EE239B4156F847B9B7CED88DC12608 |
|
CONTENT
ssdeep
|
384:UIInN85zaEnvyJD3YsbaHBDwN1YGcJzuR9JCXkUTHVibPrQt8mXtV9:UIIszaEnwT76W8JaCNTw7if |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
989c343636b69c9d |
|
VISUAL
aHash
|
16181818003c3c18 |
|
VISUAL
dHash
|
b4b2b2b151f0f0f0 |
|
VISUAL
wHash
|
1e183c3d197e7e18 |
|
VISUAL
colorHash
|
30000010400 |
|
VISUAL
cropResistant
|
db828dd9d8e1f0c6,b4b2b2b151f0f0f0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.