Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180A39B33411875274437C6D130B55B3BE2A69A4FFAA70A014EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:d10Lz4NP/y9svbliCdlm5QqcOYfFtiuCa28y2O9:TamAP5G9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d9613 |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
09094b43cd0c63f8 |
|
VISUAL
wHash
|
80e7e3093c0c3cff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,2000a08138308090,0d094b4b4bec5c63 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)