Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB711F10D044693F47C392C4A6B1FB6F77C642C5D6521A084BF8836B9FDBF95CE021A5 |
|
CONTENT
ssdeep
|
48:T2CJlPRB1CwstWzapVsuXHz7OhNUcAV14eUtDMF2DkbIwiypsKqHKududIYtU:TZggusNuM4F2GIwizRdudbU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95c42993c7dad869 |
|
VISUAL
aHash
|
5f17dafe070f0c00 |
|
VISUAL
dHash
|
947634644e1d18d2 |
|
VISUAL
wHash
|
5f17deb6270f0e00 |
|
VISUAL
colorHash
|
39401008040 |
|
VISUAL
cropResistant
|
947634644e1d18d2 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.