Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AD1DDB09693107F21B3CADAE430BF45F1D1F72AC21F584556FCA2456FC7DA1AC601A8 |
|
CONTENT
ssdeep
|
96:M1RSjIMaM/PGwrmhbo0ciGiowibJgF8duR37fA74uw7lRxugwU+JGFgs+hNw4:M1R+TaM/PGw8N8EbvXK7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fffefe80c080e2c0 |
|
VISUAL
aHash
|
ff808080000000c0 |
|
VISUAL
dHash
|
0920200898000820 |
|
VISUAL
wHash
|
ffffc0c00c0ccccc |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
0920200898000820 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.