Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1631F30A4509A3B00EB95D952725B6A73F48348D6230699FAF9C3F90FEFC19DA27115 |
|
CONTENT
ssdeep
|
1536:To4444+gsIxQ5WXXucF19ViyKpjuhaBDfX7x:8t7ViyKpjuhaBD7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad2df53132d259c2 |
|
VISUAL
aHash
|
030301030103ffff |
|
VISUAL
dHash
|
f7d7f7ffff334d2a |
|
VISUAL
wHash
|
03030307031fffff |
|
VISUAL
colorHash
|
03002000180 |
|
VISUAL
cropResistant
|
f7d7f7ffff334d2a,db53d3737757f73b |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.