Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1280275A1D464DD360B2285D5B7F27B2BB2B1C249DB020E9023F443BE67DEDA1C6119AD |
|
CONTENT
ssdeep
|
192:QQCTZY+gZgZ++nz8hhfRiQknPoKOvX7U8F:QQ6Y+ww++zKfRpknPDOI8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae7a81e1817e06f6 |
|
VISUAL
aHash
|
ffc00000ffffff7f |
|
VISUAL
dHash
|
0d9925758a0000d0 |
|
VISUAL
wHash
|
05000000ffffff3f |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
0d9925758a0000d0,585c56707159c9cb,bbb3f3f373131b5c,6d6d0c8c4c3c6c0c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.