Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4B35311455B343722339F816BC5AB7D558B62D8A337CE07F6F44F2AABC4E94A84C21E |
|
CONTENT
ssdeep
|
768:EsZi4xfhMlQSXoo65ki+6jL0YZoHP4DLvTOQtA0SOO6:Fi4xNSXoo6WiMYZoHPALbOASOO6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce4d3b023cb947e2 |
|
VISUAL
aHash
|
0000f0ba3030ff81 |
|
VISUAL
dHash
|
2361666664e02b2b |
|
VISUAL
wHash
|
00b0febe7070ff81 |
|
VISUAL
colorHash
|
02000000006 |
|
VISUAL
cropResistant
|
62446666e4e0e42b,cc8cccc4b49c9ca4,d75757ea1652494b,036341666664e4e0,3c2f13ad6c5b6f3c,2b2b2b3b4c544e4b |
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 1097 techniques to evade detection by security scanners and make reverse engineering more difficult.