Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E2A538D164B97B029383D81A73D3E67AD7428EC2634358E2F4CB357651DFADC91AA0 |
|
CONTENT
ssdeep
|
384:mDsOGOq/J41R2mv/H4WZ1YdtuRgK47/78c4dB4o9uZ8Td3sHwADiY7rnx82uno1K:zqotfsRtj34DA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcc9022e7fb62b90 |
|
VISUAL
aHash
|
fdfcfefc90000400 |
|
VISUAL
dHash
|
e9f0d0113131d4d4 |
|
VISUAL
wHash
|
fffffefc90000400 |
|
VISUAL
colorHash
|
33000080006 |
|
VISUAL
cropResistant
|
e9f0d0113131d4d4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)