Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19043D8396200A67F90AFC39DF7F2555552DCD95DD2820384C6F88A613A93CC0FC8B9AE |
|
CONTENT
ssdeep
|
1536:CEEXDIbLnPROSNQqf2F03PMSYTud1k2NCLJqWwUOJ/TiCywY4JieHiYwiOllNQ:CnyOSNQquF03PMSoud1k2NIJqWvOJ/T/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e76c4d6747494343 |
|
VISUAL
aHash
|
00ffffffe7ffffff |
|
VISUAL
dHash
|
c6044c140c0c0c0a |
|
VISUAL
wHash
|
00c3c7c7e7e7e700 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
160e140c0c0c480e,0020dcc4c4d41000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.