Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB127273B600DD2A8DAB56CCF1C096884119D385FB3148CAB1A491FF7BC0DF169A979E |
|
CONTENT
ssdeep
|
192:s1KtdoWqdUR3sx2/Gx7McnthWeNWbnfMmUU8VCo1u:46e1URLNfMmUFCo1u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74f38781f134978 |
|
VISUAL
aHash
|
00f77337f3ff0400 |
|
VISUAL
dHash
|
386fcfccefc64d30 |
|
VISUAL
wHash
|
00f17337f1f3e700 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
38efcfccefc60d30,0000000000002000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.