Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19693F8B91285663E200383F4E318A62E97C5DA4ACB338D52E3E88337A5C9CF89D355D5 |
|
CONTENT
ssdeep
|
768:B+UNE9scoowzYwr4IbQcnrkUwEIoMz/+UNE9scoowzYwr4IbQcnrkUwEIoMz/ODw:H4pDE0Igj06T2UbKCOVOg70WOi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3d818cd18 |
|
VISUAL
aHash
|
ff839f9fdfffffff |
|
VISUAL
dHash
|
432e3434b8d43403 |
|
VISUAL
wHash
|
00021e1e5e1e9fff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3434b8d43403,5a9989cbcd4d45e5 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)