Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18233857291466B2F118342E1972CE72ED3C9D649C7638E47E2F8C33B57CADA09D361A4 |
|
CONTENT
ssdeep
|
768:emYd4Mw0k843swHbkDQQnjU0EcAkcXnuYd4Mw0k843swHbkDQQnjU0EcAkcXnTN5:QMEN0pyeaW/V0vxTAa8u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3531b5f51d4d |
|
VISUAL
wHash
|
00001c1c5f1fffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3531b5f51d4d,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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)