Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B213953158C86B2B4B9353C0A3A0AE4BF3D28144F27AC64AF1E6C71B5AC4D94DC7765D |
|
CONTENT
ssdeep
|
768:wKqdeAKy4zhIlK+npBVMFEeIu5xqGKBTWV534RJovZDH3VXQMHy49dLh9VB98jpW:wKqBKykh+KAB6F6uLqGKBTWV5ITSZD1t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9449eb948fb4a2cb |
|
VISUAL
aHash
|
ff000016360606ff |
|
VISUAL
dHash
|
71f3ecececac8c79 |
|
VISUAL
wHash
|
ff000636366606ff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
0001416b6bd50004,2428787858787878,96d6e8b0904d0f8e,f8f8b8f8e92c3c68,0000041c38384169,32f1ececece4ac8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.