Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A3DE23422935274437C2D134BA5B3BD1E6999FFAE70D010EDC8BEA6AF9CA0745B11D |
|
CONTENT
ssdeep
|
1536:eE/d3wtpR4nXBKpSpFl26vgKkojH22PoX:CUM1Kkoro |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9316ec6db9539348 |
|
VISUAL
aHash
|
00043c2c042000ff |
|
VISUAL
dHash
|
3664e968686bc28a |
|
VISUAL
wHash
|
c03e3c3e2c2078ff |
|
VISUAL
colorHash
|
39400030000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,d800900000000212,3664e9686869c28a |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.