Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0223442210C5A69C2F348DD98007A90A143E78FC8618B70D6BC5D7B2BD6EA266D5F7F |
|
CONTENT
ssdeep
|
192:uFq67lJALOAYHjbj1jL6hWjwXHVwrsyKPzdFjyyUy+ZVnoMonZOtsxYX8YS+h6wR:jOAYJsXHpPzh+R44mxlIh7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f82dd78161ce8e31 |
|
VISUAL
aHash
|
ffc783c1c1c3fefc |
|
VISUAL
dHash
|
17172f179f3bcd09 |
|
VISUAL
wHash
|
ffc18181c181fcfc |
|
VISUAL
colorHash
|
06601000000 |
|
VISUAL
cropResistant
|
17172f179f3bcd09,1216d222131b2d55,6d2cbc3587c331ac |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)