Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C328BF11858EC371187BAE492B8A71EA2C7C35ACF572B8653F8979C9FC2E80CD61550 |
|
CONTENT
ssdeep
|
192:P+LSGShp656diIaGNm6NKBNwoN8YCiLt0I5B8uB2ppWmeEk:jBiudoTqI5uuGI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e4c326347476573 |
|
VISUAL
aHash
|
009cffffffffffff |
|
VISUAL
dHash
|
4d3530706c120d0c |
|
VISUAL
wHash
|
00043c3cbdc9fcfc |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
68bc70614c120d0c,0000000000000000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.