Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116C2B832A1046A3B419382D97361A72FA2E3834AEB47051593FD83AD4FE7D94CE33656 |
|
CONTENT
ssdeep
|
384:UXSby5N4bzekjIwWQ/v/6c50oLOiHDbDRnsIYsOy2+y9BH4cCUIe:aSby5N4+dZH8q7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc12ed3c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccc8c8c8cc3c00 |
|
VISUAL
wHash
|
00fe6c00204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccccd8e8c9cc3c |
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.