Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186C28575B110BA3B11D392CAB761F71BA2E3520EDA86090853FC83EC47D7D94DE23625 |
|
CONTENT
ssdeep
|
768:7SkZJP70PkBggs7Wur7sOy2+y9BH4crIe:lU4W7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc29ed42d696 |
|
VISUAL
aHash
|
000024200000ffff |
|
VISUAL
dHash
|
c490ccccc0c0cc00 |
|
VISUAL
wHash
|
00007e743838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,c492ccccc8e0c0cc |
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.