Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6C2A731A1002B3F4297D3CDB321F32DE2E2928DD6460D1552F9835D8FE7E90DA2792A |
|
CONTENT
ssdeep
|
768:iwe/y5N4cP7Vka31jIAIDs7sOy2+y9BH4c1Ie:jVj1P7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a9529c181 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cc4c2cccde300 |
|
VISUAL
wHash
|
c0e6f2302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6c8cccde3 |
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.