Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FA36933411935274437C6D530A55B3BE2E69D4FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:C54VaLz4NP/y9svbliCdtH1FtiuCa28y2O9:ymAo2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373fc38cc2c8543 |
|
VISUAL
aHash
|
00402000000000ff |
|
VISUAL
dHash
|
0848c8c8c8cd0fb6 |
|
VISUAL
wHash
|
c0eee0607e0703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
008081303000a000,8c08c8c8c8cccd0f |
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.
Pages with identical visual appearance (based on perceptual hash)