Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16973647211426A3F2183C2D1932CF35AD38AD60DC7A74A8AD7E8C35B27D6DE0DD361A4 |
|
CONTENT
ssdeep
|
1536:plqe2fGDcpL0U4Ee+SwyG0F5G3NnOD05xVuz837:5F9O9nbX7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c86,84abf393c8c8dcd4,4561417971690141,00454d7171414541,a1e7619999a1230b |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)