Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D03523111C21F3BE667CAB4B17173695299DB1DCBF38664A6AF4363CBCBC528B22144 |
|
CONTENT
ssdeep
|
384:HI5aG//UuC43bmrg03/ufE4eCpdvdtObcSIXI+3KDbXIid:o5RCaQgU/ufE4dnvdtOxn+6/XIid |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c39ae1653865999b |
|
VISUAL
aHash
|
003c3c1010707040 |
|
VISUAL
dHash
|
d66971b0e0c0c4d4 |
|
VISUAL
wHash
|
783c3c383c7c7878 |
|
VISUAL
colorHash
|
38000000380 |
|
VISUAL
cropResistant
|
d66971b0e0c0c4d4 |
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 193251 techniques to evade detection by security scanners and make reverse engineering more difficult.