Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1673419D0720076D9A8234BF8FB4A786AA27F63B1EF76112DB664516031D35B8CB1BCD4 |
|
CONTENT
ssdeep
|
1536:4GOnyopp10fTR73ptRIRtqABziI5Ju3E4fr6TSQLDBD8Ncre/4RdrB1exMRKeiRv:T8isTW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1659e9a3164cc67 |
|
VISUAL
aHash
|
ffe3c3c3c3ffffff |
|
VISUAL
dHash
|
790e06868e061e1c |
|
VISUAL
wHash
|
8482c3c3c3c3c7ef |
|
VISUAL
colorHash
|
06000200030 |
|
VISUAL
cropResistant
|
790e06868e061e1c,2f3fa7a792960c06 |
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 423 techniques to evade detection by security scanners and make reverse engineering more difficult.