Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121032538580F10AB1A23DCE1E121BF9F61A3EB3AC169C86046ACD35C7FC7EF06659565 |
|
CONTENT
ssdeep
|
768:nfgwqZvzv4v5K/si/dF/ED/yv/PkdY3s2C:fggB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6cc9967642633cc |
|
VISUAL
aHash
|
e3fff7e3e3e7e7ff |
|
VISUAL
dHash
|
06080c4d044d4ca6 |
|
VISUAL
wHash
|
c3c3e7e3c3c7c300 |
|
VISUAL
colorHash
|
07400038000 |
|
VISUAL
cropResistant
|
06080c4d044d4ca6 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.