Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0826821B46C6E33039B96D8F7A5AF0BB382D304C546194557F987AD0EE3C72FD5A212 |
|
CONTENT
ssdeep
|
384:cLZ7CNlboOmoFLdd9TiTYOfCVW+tDMtn3Qc:ct7CNliX6W+tDin3Qc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2521585a5b5d3da |
|
VISUAL
aHash
|
000000e7ffffffff |
|
VISUAL
dHash
|
d0550d4eb0000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000018040 |
|
VISUAL
cropResistant
|
d0550d4eb0000000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.