Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16942A732B10C5DAFBB238699BBD7B269C38FA38D99304630C95D057D8AC6F648433593 |
|
CONTENT
ssdeep
|
96:Mu16/QiTMpfjMZQ2w/+10s4xoi28Carw23JMo1A97D9RKXCD03ppjN9xc7uxuwn3:qxgpfwCxPXjN9kw/Pm+PmyZqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c638993865c766 |
|
VISUAL
aHash
|
00343030303c2000 |
|
VISUAL
dHash
|
d16d6c6666684834 |
|
VISUAL
wHash
|
7f777672723c3000 |
|
VISUAL
colorHash
|
100060000c0 |
|
VISUAL
cropResistant
|
c0c86986d469c4c4,c992c0ccd4d67262,d16d6c6666684834 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.