Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150745C26E090643B41F760F4F4E76354F5B23298D3098E0478FD9086B77EED89A73A99 |
|
CONTENT
ssdeep
|
6144:16Oz7qMoWq0vUVnZUYxB1jC0PkfeKpUOvJM:16QuMoWq0vt0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99e6e763621c541b |
|
VISUAL
aHash
|
f79f0f1f0f0f0f1f |
|
VISUAL
dHash
|
867e3c3c7137773b |
|
VISUAL
wHash
|
021f1f0f0f0f0f1f |
|
VISUAL
colorHash
|
07000018002 |
|
VISUAL
cropResistant
|
c73c3c3b7137733b,3beb4123222b5ade,0000c12626278000,510d3333334d6145,614c3232324d6041,96b584c8c09bc8a8 |
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 127 techniques to evade detection by security scanners and make reverse engineering more difficult.