Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C28632A140263B51D7C3C97361B72ED2E39289EB46090652FD935D4FEBE90CF6352A |
|
CONTENT
ssdeep
|
768:+SCy5Ngew8sVomDt448uG7sOy2+y9BH4crIe:HwTDbO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad428d2cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2d0f9f9bb00 |
|
VISUAL
wHash
|
002f38180c0fffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c5c4af0d0f9f93d |
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)