Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3B3BB33411835274437C6D530A59B3BD2E69A5FF9A70A010EECD7FA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:cORLz4NP/y9svbliCdPnWdVtTmFtiuCa28y2O9:nmAEnq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5cd92693d38 |
|
VISUAL
aHash
|
3b1f83cfdff0f0fe |
|
VISUAL
dHash
|
e2b73e1c3c262298 |
|
VISUAL
wHash
|
3b1f0387cfc080fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2b73e1c3c262298 |
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.