Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154843A487241711642A730F5902F470AB376D5ABE80AC86CB2B8D9DA7DBCC5C516BFBC |
|
CONTENT
ssdeep
|
6144:O/Ksh+MPG3TBvTiq87MU0q9STmjyl5M/GE+TsGavWNYeePi90:O4MPUj87MC6NYe+i90 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b847bcc351fc4319 |
|
VISUAL
aHash
|
ff00000000eeffff |
|
VISUAL
dHash
|
273e7114d8c8343b |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
06006200000 |
|
VISUAL
cropResistant
|
00483324032b3654,2839b1e3cfee707c,c800b63717371b3b,000021d4d4d42200,167c717154d0d8d8,1d33ab4094bd3838 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.