Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BA36933411935274437C6D530A55B3BD2E69A9FFAA70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:4VTLz4NP/y9svbliCdBpg7FtiuCa28y2O9:WmAon |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d367f532d528b049 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
1c4942c0c91d69e8 |
|
VISUAL
wHash
|
c3ff30383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
69280001387080a0,1c4942c0c0d91d61 |
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.