Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10992413181096127537B49C8EC721B1E34D39B5DCE230D469BBC97AEBFD5CB2AE0548A |
|
CONTENT
ssdeep
|
384:RzdTsPE12s1co8aapyYZKYAtdwpzHTiuvsqXUruF85p6ql31X7tl1V7f:pdTs812s1co8agyYS31X7tlj7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db392187c79a9a34 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0a1371696969a987 |
|
VISUAL
wHash
|
0081bcbcbeffc1c1 |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
f2b292a2b69694a2,0a1371696969a987 |
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 1575 techniques to evade detection by security scanners and make reverse engineering more difficult.