Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2B34B703618B56A59F34396609F2213B279562FD80E4C60B354ECA973ADC8FA533FC9 |
|
CONTENT
ssdeep
|
1536:3XDonXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKduAtobZ8o:3TonX8VMAIGvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9731362c359dce |
|
VISUAL
aHash
|
023c3c1818000018 |
|
VISUAL
dHash
|
967171b2a0400c32 |
|
VISUAL
wHash
|
ffff3c3c183c0018 |
|
VISUAL
colorHash
|
38201030000 |
|
VISUAL
cropResistant
|
967171b2a0400c32 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.