Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D98160709C6D6B3313A783C3B7A24B0F73C0C261D94B0B155AF1239C8ACBD2ACE95646 |
|
CONTENT
ssdeep
|
96:l6sksrZS/rQHbcc6nxY0KPJMbCXohYgrCqx4FCM:l6BMZSD5rnxsP6soprtWFp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b386ccc9c96c9999 |
|
VISUAL
aHash
|
3c2424243c000000 |
|
VISUAL
dHash
|
322a2a4c2a160400 |
|
VISUAL
wHash
|
1b031b03d8c0f0f0 |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
322a2a4c2a160400 |
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 189 techniques to evade detection by security scanners and make reverse engineering more difficult.