Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157831633421935270537C6D430A99B37D2A6DE5FFAE70A010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
384:+yIGo3vlsbS8PHFNOmzPdkAqHn1WiJm3KWVEp0s:+Vts28PlEmz1MH1WiJm3zVEpb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9b2278d9832abc9 |
|
VISUAL
aHash
|
051c185c18180000 |
|
VISUAL
dHash
|
5970b0b1b3334959 |
|
VISUAL
wHash
|
8dbcfcfcf9b82000 |
|
VISUAL
colorHash
|
30000600010 |
|
VISUAL
cropResistant
|
a0000060400100b2,d28041f0e0e0c0e2,a20000c0c0000092,0000009696000000,5970b0b1b3334959 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.