Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1166429557611712A41EB21C6A43F060E7236EBA9A207840CF15AD6FC3E6CC8D92FFB75 |
|
CONTENT
ssdeep
|
6144:EvPoYcvBmBSbpne9u7Chn1S/Y7nHQJLs33oSNF92xoNq:moYcvBmBIpnou7CXPnOLNSNFU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
caa195dc926cd3b2 |
|
VISUAL
aHash
|
fffff9003c10003c |
|
VISUAL
dHash
|
a3e8836169f1b2e8 |
|
VISUAL
wHash
|
fffff9003c10103c |
|
VISUAL
colorHash
|
02000000046 |
|
VISUAL
cropResistant
|
0000808000808000,0000c4d0d0c40081,5653697557512424,35504a5b554c2e2f,486cb59161b14e4e,ceee31939637949c,8280825edec28080,6961696969d4c40e,002010e3a3815000,810169c9f1b281e8 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.