Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1C2967261806A3F12E7C3C9B751B72EA2D3C349DA86190556FC535E1BE3E90CE1353A |
|
CONTENT
ssdeep
|
768:9Dy5NNN7XS3yik0jazrxN7sOy2+y9BH4crIe:G714+BN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad42cd2c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c59d2f0f9b9b500 |
|
VISUAL
wHash
|
002f38081c0fffff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0f0f9793d |
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)