Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE422023B500CD2A8EDB45DCF2C4A989455DC345FA3148CA72A481FF7BD4DF06A947AD |
|
CONTENT
ssdeep
|
192:ad3Jwde9wc3eojRbpNuSyFMcnthWeNWbloT9eiKfMmUU8VCoLf0:BeiglF3usoT9eiKfMmUFCoLf0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46665339b339b30 |
|
VISUAL
aHash
|
e7c3c3ffffefc3ff |
|
VISUAL
dHash
|
0c06061e16169600 |
|
VISUAL
wHash
|
c4c0c0c0c0c0c1e4 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0c06061e16169600 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.