Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D2A43171147A3B51A383CEB762A31FA2F3820AEB960414ABFC83ED47D6D54DA73125 |
|
CONTENT
ssdeep
|
384:YJSkZj3jJzsGMVAx5q8VSYtM4vgq4NzW1EiajKZwFEbIYsOy2+y9BH4ciUIe:GSkZj37HP6MaEwq7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c332bc6dc74392b8 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccc8ccc8c0c000 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000038 |
|
VISUAL
cropResistant
|
0880800458988000,ccd6ccc8ccc0c8c0 |
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.