Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100930E72627B1826514FB2D4A2A48B193283DB89C3434BF6627D52F67FCD8B67D1318C |
|
CONTENT
ssdeep
|
1536:5L83NSHDUSQcSPD9gjDTiDCyDI7tRysfDxD/6DD0bDLqKiCxZa5O6V13I8Qa7Ept:5s9gXTMCcIqA1q4+15O6V13I8Qa7E4hi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
934d643b38c3cd66 |
|
VISUAL
aHash
|
3820784e0e0e6e46 |
|
VISUAL
dHash
|
c066e2989898c888 |
|
VISUAL
wHash
|
78307a4e4e4e6e47 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
c066e2989898c888,999819cb97189899,099964f131262b2b,9998198b97189999,9998198b97189999,d7693248cccc442c,999819cb97189998,999819cb97189899,9998198b97189999,9796c569b371f1e1 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.