Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CA37B33411975274437C6D130A55B3BD2A6D98FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:Z7lLz4NP/y9svbliCdWeNFtiuCa28y2O9:xdmAn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d267fc32e9389069 |
|
VISUAL
aHash
|
00602000000400ff |
|
VISUAL
dHash
|
9cccccd0c9dc3df2 |
|
VISUAL
wHash
|
c0fefe08244f00ff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca4d714d4d715596,008081303000a000,9cccccd0e0ccdc33 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.