Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141A4A5B42304252D404783D0F3D5FB19926ED794EB6B98AC727C56A257C7CC8EE37AA0 |
|
CONTENT
ssdeep
|
1536:yy1J6Mtkhz/dBQ0bL/pAX882WIDT4kKwchCjGo526BVHXtL9dabetloz2o+Tf2+5:yyX374Ck2T6t5ZHS5+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce85647133727c2d |
|
VISUAL
aHash
|
00383c3c3cfc9800 |
|
VISUAL
dHash
|
e460606971b16925 |
|
VISUAL
wHash
|
003cfefc3cfcbc00 |
|
VISUAL
colorHash
|
31c00008000 |
|
VISUAL
cropResistant
|
e460606971b16925 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.