Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EC2A672A110263B1287C3C97361B72FA2E3D289EB8A191563FC875E4BD7E50DD1352B |
|
CONTENT
ssdeep
|
768:PSCy5N1qg/cbB9nZybVWyxd7sOy2+y9BH4cLIe:RgkZYWi7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad42cd4c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c59c2f0f9f9bb00 |
|
VISUAL
wHash
|
002f38181c0dffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c594af0d0f9fd3d |
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)