Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157A233B2B1C59067225757CBF11A2A0CD057AACBC7688FDCF5B04099B5E1FF87293294 |
|
CONTENT
ssdeep
|
192:PCfc8F0+O1ZIu0wKfYxdCxI4O8+aF9OB9xLwKbNzNqv2lvGWAcpyHgwL8Ok:qf62udKfAd4BpCl1t9pagwY7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bae3e36a9096271c |
|
VISUAL
aHash
|
e1c1819d8181819f |
|
VISUAL
dHash
|
4d133b1131353531 |
|
VISUAL
wHash
|
e1c1abdf818181df |
|
VISUAL
colorHash
|
06400018200 |
|
VISUAL
cropResistant
|
4d133b1131353531,78f89c3870218f1f,0000008020206076,941b5b9032b6b632 |
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 950 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)