Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162E1FCF1D040ED3B435385D9A7B66B0B7391C389CF030A45A3F883AB5BDBC60CA1659A |
|
CONTENT
ssdeep
|
192:Qj0q1DJ1bIDKt8iZXCMfC5YxBa8nB/z0yCicdw:Qj02Nd841ZSMfEYxM8nBLcdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed19471916669ce6 |
|
VISUAL
aHash
|
0081c3c3dbdbe3f7 |
|
VISUAL
dHash
|
322b2a2b2b232b2b |
|
VISUAL
wHash
|
00c3c3c3cbcbc3f3 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0020282820200000,2b2b2b2b2b332b2b,0000000000114433 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.