Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D2B531A1002B3F539783C9B750F73AA3E3828AE746151652FD836D8BD7E90E93351A |
|
CONTENT
ssdeep
|
768:GCSky5N5dyFr4c4s2EVH096N/7sOy2+y9BH4cLIe:7r4kLi6/7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362fc389d6d9c80 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ccccccacc0c8300 |
|
VISUAL
wHash
|
00ec7c640e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc8cadc0c84 |
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.
Pages with identical visual appearance (based on perceptual hash)