Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CE2DA31B1147A3B4197C3CDB762F32AA2B74345D645054AD1FD83AD1BA3D90DA33A1D |
|
CONTENT
ssdeep
|
768:rJ2S5y5NSdkdvBJAnOb4J5mSxmciDP4JY4RpqXZXJc9RzY1bn06pgIhXyRWthOhS:rJdudvBJAnOb4J5mSxmciDP4JY4RpqXz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19094b43c90cb300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffffe,0080800078908000,1009496b4bdd1c30 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)