Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E73A7E34179097A2AA70AD2584C235B7C91E04FFA955683A1BFC3A423F9CD135732E7 |
|
CONTENT
ssdeep
|
1536:7EqiIR/8n8Og67gOSZBPzhBQDeOJVb3SEMyp2h17EzDkhNE:7tr98n8Og67AhODeOJVb3SEMyp2h17Ev |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f96cc36263d16263 |
|
VISUAL
aHash
|
c3818181c3c3ffff |
|
VISUAL
dHash
|
2b3333332b333b3b |
|
VISUAL
wHash
|
c1818181c1c3ffff |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
2b3333332b333b3b,01034123a30141a1,3232b230b2328890,176969717971300d |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.