Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163D1A63F2B1D33754BA000F6E1A475CDC74B969D72418EACB6A8010D37F42988A7D7AB |
|
CONTENT
ssdeep
|
192:/LCP579vBvxtvnvjvWwDSYl2HlLuTmxaP:jM579J5tfbeKSYlgu6xaP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a42d9b9b27271e2c |
|
VISUAL
aHash
|
03dbf36363ffffff |
|
VISUAL
dHash
|
9e1626c6c635cf27 |
|
VISUAL
wHash
|
03cb8323631f03ff |
|
VISUAL
colorHash
|
072080000c0 |
|
VISUAL
cropResistant
|
9e1626c6c635cf27,016686b2b6064601,ccb1c2093362138e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.