Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EA37B33411935274437C6D530B55B3BD2A69A4FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:QSjy5NCm3KLz4NP3+mZY9svblTOCVrRB4zuaXFtiuCa28y2OZL:s6Lz4NP/y9svbliCdlkFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c9269 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc4c0d98c3db2 |
|
VISUAL
wHash
|
c0fefe70440e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,9cccc4d8c8dc2c33 |
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)