Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183427333A600DC294E9BA088F1C49589515AD346FB318887B2B491BF7BC5CF169A93BD |
|
CONTENT
ssdeep
|
192:D+x3JUdWAuBDSdx7+GJ97TdMcnthWeNWbG98+6kBVfMmUU8VCofc:DLWAuAX7Tb98vkBVfMmUFCoU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd4db248b24abb55 |
|
VISUAL
aHash
|
f8f8f8f8f8f8f8ff |
|
VISUAL
dHash
|
131252d2d213130c |
|
VISUAL
wHash
|
f0f0f070f0f0f0b6 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1312d2d3d2931313,aa82f03b1ba986b2,2000010000000000,dff939d6e86dde7f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.