Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187731E71856E80B6A092EDDD53083734D2434D4BCBB6F788DD2B9289BCDDC3C4C9A9A5 |
|
CONTENT
ssdeep
|
1536:XhYeGuYFuWbACH1ksHNvjEFfdFoNcjYtOEb:kbADpB7ob |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6e9192696a696c |
|
VISUAL
aHash
|
fff391c1f1fffff9 |
|
VISUAL
dHash
|
3b07232327d8e133 |
|
VISUAL
wHash
|
f9f1008080feffd1 |
|
VISUAL
colorHash
|
07009000048 |
|
VISUAL
cropResistant
|
3b07232327d8e133,e8de5e5efab6b6b6,71721ad8b2f0feae |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.