Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135F165A1D054DD36076281C5BBF27B2F76B2C345CB020E5413F853AA5BCEDA1CA229A9 |
|
CONTENT
ssdeep
|
96:Tkd/zYh7MSHuST0ty8v67/7l/RJE0F9OXGHF/KX0X/EJ26SGGAT431:Qd/zYhhLwA8iJRJEGZXTU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807e037700fc83ff |
|
VISUAL
aHash
|
0000ffdfffffff7f |
|
VISUAL
dHash
|
083000b4004000d0 |
|
VISUAL
wHash
|
0000cfcff0f0f030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000080a0c4c0008,2020b420004000d0,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.