Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF125F73A600CD298D9B96CCF2C09588411AD346FB3148CBB5A090FF7BC4DF169A979D |
|
CONTENT
ssdeep
|
192:lB3Jkde/s9ZR+xNFaMcnthWeNWbnfMmUU8VCo1:OeU9WXfMmUFCo1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b5b6464f324cc1b |
|
VISUAL
aHash
|
00183c3c3c3c00ff |
|
VISUAL
dHash
|
8679616969718622 |
|
VISUAL
wHash
|
003c3c3c3c3c03ff |
|
VISUAL
colorHash
|
3a0020001c0 |
|
VISUAL
cropResistant
|
b03094a02d2d808c,0000000000000000,8661716969716806 |
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.