Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8A38B33411935274437C6D530A55B3BE2A69A4FFAE70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:VSky5NcoO7Lz4NP3+mZY9svblTOCVrjZAQSnEyFt3FtiuCa28y2OZL:2cLz4NP/y9svbliCdSXFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1eed2ac123 |
|
VISUAL
aHash
|
00002000000004ff |
|
VISUAL
dHash
|
92ccc8c2c8ccec88 |
|
VISUAL
wHash
|
0064ee70202cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,928cc8c2cac8ccac |
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)