Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163A36A33411935274437C6D530B55B3BD2A69A4FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:Uz+Lz4NP/y9svbliCduPWiFtiuCa28y2O9:xmANuh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f53a9828904f |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
1c49c2f0c9ed61f0 |
|
VISUAL
wHash
|
83ff70383c1c00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
696100a1383080a0,1c4dc2c0c0e9cd71 |
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.