Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126034274720100776573A3EAB091AB1E55E6F38BD6D3C889B2B8D2312FD3C79B9D1924 |
|
CONTENT
ssdeep
|
768:ix9NaLGajNOtoxnHQNX1nNplWOHgC6Kf/wGYbpuTGq9fZDCwbx1WCSfjwOQQSZCX:mTVHgC6Kf2/h8U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e36dc99936363298 |
|
VISUAL
aHash
|
ffffe7e7e7e7e7e7 |
|
VISUAL
dHash
|
0a0a4d4d0c4d4d4d |
|
VISUAL
wHash
|
0000242427272727 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
0a0a4d4d0c4d4d4d,a2828e86868e8e82,2022c0ac80908802,61d4dcdcd4ccc0d4 |
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 476 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)