Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172C371D55618038CA14BC96DEF2FFE05131FB5AABA548A80294EC26CD6CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:if0RQ7He7ezrMah6lHAlFsR8MLqczXFsR8MLqcMA0:Q0RQ7H8daUHxaC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c141e1beaf2bb21c |
|
VISUAL
aHash
|
ff00000000ff00ff |
|
VISUAL
dHash
|
c0c0c0d0f0c01120 |
|
VISUAL
wHash
|
ff78600000ff18ff |
|
VISUAL
colorHash
|
16e00000000 |
|
VISUAL
cropResistant
|
00000000000000c0,0000000000000000,0000000000000000,c0c0d4e0c0f0e0f0,0008101010100800 |
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 151 techniques to evade detection by security scanners and make reverse engineering more difficult.