Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACC2E83196C65A3B114383C4BBF2DB4BF7819189EA23978556FA4BB977CAC88DC11608 |
|
CONTENT
ssdeep
|
384:lIIUm5dubyJD3YYbKDDwN1qRYh+XkwTdFIBPrQt8mXtV9:lIIJdHTJOUYRu+XTYpif |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9998763636945c9d |
|
VISUAL
aHash
|
0618181818183c18 |
|
VISUAL
dHash
|
e4f0b2b33bf0d0b2 |
|
VISUAL
wHash
|
1e3c1c1d3d3c7e18 |
|
VISUAL
colorHash
|
30200410000 |
|
VISUAL
cropResistant
|
f6aab572f08d5b49,6fe5e5f1f3d9bd7e,e4f0b2b33bf0d0b2 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.