Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA326233E600CD2A4D9B55CCF5C49588425AD349FB3148CBA2A491FF7BC8DF069A93AD |
|
CONTENT
ssdeep
|
192:wT+YcmcCC8zwOxLiXEaXMcnthWeNWbjRLfMmUU8VCofK:scmcCC8XiXvsRLfMmUFCofK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9b8c319b |
|
VISUAL
aHash
|
f3e3c3f3ffffffff |
|
VISUAL
dHash
|
0606862610060000 |
|
VISUAL
wHash
|
00000000fffffffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0606862610060000,def871dce869defc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.