Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FC2A731A000273F419B93C9B351F31EA2E39289DB460D1653F9976D8BE7E90DE6352A |
|
CONTENT
ssdeep
|
768:8e/y5NTozGW8Oo/TCk7sOy2+y9BH4c1Ie:Jz77ob7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9529c191 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cc6cacccdd300 |
|
VISUAL
wHash
|
80e6fa302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cc4c2c8cccde3 |
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.