Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C2B8326100263B0187C3C9B361FB2E92E38349EB46190A53FD935D5FE7E54DA1756A |
|
CONTENT
ssdeep
|
768:eSCy5NwhyrlDbSuUDjlO4givH7sOy2+y9BH4cLIe:WyrN2lJ/7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad428d6c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2f0f9fdb300 |
|
VISUAL
wHash
|
002f38081c1dffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0d0f9fd35 |
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)