Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C635422D3531903A0BBC1D8B072478D2251868DC7534B79A7BD63BAF9CFDB6361229D |
|
CONTENT
ssdeep
|
1536:6p0AGJK0e3eASzyzEf0Q57rl4pTMxHwekJReee4deee2dBXJsEHKzMizvGJideuF:Si57rl4p1/JnqBa3q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c26d6c7397939807 |
|
VISUAL
aHash
|
00c0747c2c7c7c7c |
|
VISUAL
dHash
|
0aa7c5cdcc9dcddc |
|
VISUAL
wHash
|
00c1747e24fd7c7c |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
0aa7c5cdcc9dcddc,6448b2fa14152d29,6175d5353326648b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)