Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DC296716140773B0293C2DAB661BB6E62E38289E786051653FD83AD0FDBF40ED73529 |
|
CONTENT
ssdeep
|
768:Gle35rHzFlH32XABsD5DzXD77+BWCVU7sOy2+y9BH4cLIe:PmX7vD7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3419432fc3c94ed |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cc8c2c8c8cc8c00 |
|
VISUAL
wHash
|
06743040644effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc8c0e0c8c8cc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.