Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1A37933411935274437C6D530A55B3BE2A69D9FFAA70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
768:ieXy5NEbcSLz4NP3+mZY9svblTOCVrUYdBjBFtiuCa28y2OZL:bJLz4NP/y9svbliCdVdfFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc38992cc703 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
044cccc2c8cde398 |
|
VISUAL
wHash
|
c0eef63024007bff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,940cccced8ccc5e3 |
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)