Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AC27472A1002A3F429B83CA7361F72E93E392CDDB46090552FD835E4BD2F94DE1B51A |
|
CONTENT
ssdeep
|
768:NSCy5NyaWJpEHcDwBacA37sOy2+y9BH4crIe:CWvE5Pq7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad42cc6c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4942d0d9f9b500 |
|
VISUAL
wHash
|
002f38180c1dffff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0d0f9f935 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)