Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E87326794512D97F80ABB6D1FAB5973B72F08299CA435EC213F8974D0FBAC84ED51208 |
|
CONTENT
ssdeep
|
192:D4p84nJbqjIIIIks9np/B0NzUu5gm2vl7ubupuyuLukuluMuruPu0uEuCuzuRuwB:HjIIIIL9np/Bwj5gbt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b364647699993399 |
|
VISUAL
aHash
|
42c3efffe7e7ffef |
|
VISUAL
dHash
|
4c445c924c4d5a48 |
|
VISUAL
wHash
|
000008cbe7e7efef |
|
VISUAL
colorHash
|
07001400080 |
|
VISUAL
cropResistant
|
4c445c924c4d5a48 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.