Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8E15512A7483B2C629A81F8F633C7DAB7440695D3490FF95634823F749C9E0C57AADC |
|
CONTENT
ssdeep
|
192:nnScpLLkUmMkdpHC+NGz7h54VsqZh24eeJ:nnjvmMkdVey |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96d939292c6659a |
|
VISUAL
aHash
|
c3c3c3c3ffffffcf |
|
VISUAL
dHash
|
968696961f17361e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06000018006 |
|
VISUAL
cropResistant
|
968696961f17361e,806aa8b9a1b19290,00008c00d0908000 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.