Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDD2A675B1107A3B1197C3CABB61E35BA2E3520EEE86051853FC83AD47D7D54CE2362A |
|
CONTENT
ssdeep
|
768:dSkZTvIHb95MSbEl4joxb7sOy2+y9BH4cLIe:Vnb7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc29e543d69e |
|
VISUAL
aHash
|
000024200000ffff |
|
VISUAL
dHash
|
cc98ccccc0c8c800 |
|
VISUAL
wHash
|
00007e7c3830ffff |
|
VISUAL
colorHash
|
3a000000038 |
|
VISUAL
cropResistant
|
0880800458988000,cc12ccccc8e0c8c8 |
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.