Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145D32F21B210FC26C1435ECF5264DA25B74DF729CA1A13C6F7841A779BA9CB17CB7828 |
|
CONTENT
ssdeep
|
1536:7Qsw7KozpqlegXntOBD444g/DbphihTh0hyhuhcEOuUKOurZ3Cy3Sql1h7E7ziwQ:47ZZ38lM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94f952254f16b9d2 |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
d21a392706beecec |
|
VISUAL
wHash
|
00ffdffffb030000 |
|
VISUAL
colorHash
|
07000400030 |
|
VISUAL
cropResistant
|
0400160606610000,823a395607fefcec,004836d0d0364810,fefefdecedecf0f8 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.