Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131E1A76D41C01C31C01789DBACF6924E228BCA1EC9162841976CC7EF6DD6DA4D907B7F |
|
CONTENT
ssdeep
|
192:uqptt3pswDsrKC+ew3PnY1DC+yZKPxVxcxo:xJpswDs2bnl+cKN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc66269d999933 |
|
VISUAL
aHash
|
1810181800000000 |
|
VISUAL
dHash
|
333432b20c300000 |
|
VISUAL
wHash
|
39383c3c1f0f0f0f |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
8000304c4c081080,333432b20c300000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.