Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132C2E73255847B3D4D8243CAE651272EABDA924DCBB782E4A2EDC3391DD3C8CC975660 |
|
CONTENT
ssdeep
|
384:5G97QJ/qO+EtoFGMqEhX3AUL0jDqLSCLwLeLHJIuNrh4FNqVDfED:5G97oCIsGMXX3Sj5KlJhkNqVDfU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec4b249b7c5b2619 |
|
VISUAL
aHash
|
000000f0fffffff7 |
|
VISUAL
dHash
|
9be74f00262b1427 |
|
VISUAL
wHash
|
000000c0ffffffd7 |
|
VISUAL
colorHash
|
06003200400 |
|
VISUAL
cropResistant
|
67e60f002e6a1427,90c72fe7e7cccf2f |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.