Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10133B631588CEBB795A302963301E40FF3E65185F3B14B56F9E5461BA3A9899C833F9C |
|
CONTENT
ssdeep
|
1536:dnPf+4yOzOx/z0O0zikncLXSvcGfYDNqQ:dCufYDNl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85e9477ab5923549 |
|
VISUAL
aHash
|
fb797bff01003c3e |
|
VISUAL
dHash
|
d3d3f3fc72f0d4d4 |
|
VISUAL
wHash
|
79797b7f00003c3e |
|
VISUAL
colorHash
|
100004001c0 |
|
VISUAL
cropResistant
|
0002606161300800,d3d3f3fc72f0d4d4 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.