Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10674DF33561935260137C2CA20AA573BD296DE4FFAA70A410FECD7FB2BF9C90755A109 |
|
CONTENT
ssdeep
|
1536:hBwmV1JeeAg16GYUP+LfNvHSlhbxhDZeYIsPOvBJhdoPnpnjLZRTksPSRIhIEBaz:/A1asTswmbWgvlXdy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d482abbbe986962c |
|
VISUAL
aHash
|
ff000620000400ff |
|
VISUAL
dHash
|
4304d4c4960c0406 |
|
VISUAL
wHash
|
ff047674028e80ff |
|
VISUAL
colorHash
|
1e200038000 |
|
VISUAL
cropResistant
|
20c0c021904b47b0,f0f8ee6c78e4fcf1,4400000202000004,44c4c4c4960c0c06 |
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 843 techniques to evade detection by security scanners and make reverse engineering more difficult.