Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165E141E1C154DC3A035356D8B7F46B5B77A2C388CF06094493F443ABABCEDA0CB6159A |
|
CONTENT
ssdeep
|
96:TkOtzH0LEjySTPKiEdt7gywvFwieQqX1HFRe9X+z/aHSTu11oR:QOtzH0LGWiEdWYFQqiIzJ61g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912bee18ec591bc6 |
|
VISUAL
aHash
|
ff0f0f0f0f0f0fff |
|
VISUAL
dHash
|
1bdbdb9b9ada5a00 |
|
VISUAL
wHash
|
09070b0f0f0f0fff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1bdbdb9b9ada5a00,1313da4aca9e25a5,f8787cf6b67c7e7b |
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.