Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF33A426E0311E3A404FF3F4E3556BC592A78753CAD11BE0E2DDA2599B9ACD4CE4329C |
|
CONTENT
ssdeep
|
1536:BXwjhqCeBCICB9oCF2C1CZ13nIQ1QEF8J/a:QqL9UoRA0Y2QEL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2a72641dcd2d2c7 |
|
VISUAL
aHash
|
66c36799f9c1e1c1 |
|
VISUAL
dHash
|
4d874d33338d4925 |
|
VISUAL
wHash
|
24c326ddf9c1e1d1 |
|
VISUAL
colorHash
|
00000038080 |
|
VISUAL
cropResistant
|
cc8e072b0b454569,a080e0828ee080a2,5d55550b2b078ecc,873ff8c007788007,4d874d33338d4925 |
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 200 techniques to evade detection by security scanners and make reverse engineering more difficult.