Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5D28471A1007B3B019383DAB761E72FA6D39349CA4B090652F9835E4FF7E90DD2395A |
|
CONTENT
ssdeep
|
768:SzPy5N8q0EzP1r6rWUJ7sOy2+y9BH4c1Ie:417sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76db932f902c4c9 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
1f0fc3c0c0ccec00 |
|
VISUAL
wHash
|
81c779302004ffff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
d000800258988000,1f0fc3e3c8c0ccec |
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.