Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF1331349400AA37018392D69A34B75F67E2C348DEA3478A6BF4C35E1FC7CD5DE60166 |
|
CONTENT
ssdeep
|
768:13ilh91s0WPmIyl6NEXh3ZtcJXGvMh4oWe3scYqshLzqfhjlW/gJyG59dpvsmvdd:13iLs0WPmIyYNEXh3Z6JWYyMWLYQ/gJH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad96da68c37d102e |
|
VISUAL
aHash
|
ffff0000010083ff |
|
VISUAL
dHash
|
233a0ecae3b237cd |
|
VISUAL
wHash
|
ffff0302030083ff |
|
VISUAL
colorHash
|
1b002000241 |
|
VISUAL
cropResistant
|
3b3b101a3a2e55de,390c03c160788e63,e3c1dbdbc9971125,3629e9e8e9c9c7c8,6775f535336ba790,0763f04ce7e63f6e,b3131212377504ce,004022c4c4540000,7e37decae3b21237,9407030984c06078 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.