Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163820F71414AA127233749C8EC725B1E60E3DB2DCD231C869ABC97CFBFD1DA1AD1548A |
|
CONTENT
ssdeep
|
384:CmrgbpfacMv0qi0YzruF85p6qlhYX7tl1s7f:7stfa67hYX7tla7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c39c3c63c39cc639 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0c107169494969a3 |
|
VISUAL
wHash
|
003c3cfebe3c4c40 |
|
VISUAL
colorHash
|
06600008000 |
|
VISUAL
cropResistant
|
74032a2a2c0e1815,0c107169494969a3,c8c4e78894d65cb6 |
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 1576 techniques to evade detection by security scanners and make reverse engineering more difficult.