Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6D28531B010263B12ABC3C5B761F31FE2E29249DB8A191653FC876D4BD7E54DE2352A |
|
CONTENT
ssdeep
|
768:EeFy5NA63t71S+hQHkKxsfoYqI/B7sOy2+y9BH4cLIe:q3t0+hhKxpW7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53ab129c5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc1c3cbcd8c8300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dcd9c3c3cbcd8c04 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.