Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170A37933411935274437C6D430AA5B3BD2E69D5FF9A70A010EECD7FA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:vLz4NP/y9svbliCdwG+2NiIjhFtSuCa2CG2Ao:TmAqb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53aba4ebc40 |
|
VISUAL
aHash
|
00602000000020ff |
|
VISUAL
dHash
|
c8c3c3c9c9c3c1d2 |
|
VISUAL
wHash
|
68f3707c052078ff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
4080811030808000,c8c3c7c1cdc9c5c2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.