Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140E30C749250525B611787D8FA60A66AB0FF73F9EA03895C93FC162BB3CDCCEC816950 |
|
CONTENT
ssdeep
|
3072:BaOaGaqaIao+DaKj23y9YGaAaB/awpSaIUB4+j1a0hai:F6UB4+j/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c994363c99353667 |
|
VISUAL
aHash
|
de7a785818180000 |
|
VISUAL
dHash
|
b6b2f290b2b292d4 |
|
VISUAL
wHash
|
fffe7e7c58180800 |
|
VISUAL
colorHash
|
38002e00000 |
|
VISUAL
cropResistant
|
dffffbfbf2fcf9f9,b6b2f290b2b292d4 |
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 205 techniques to evade detection by security scanners and make reverse engineering more difficult.