Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F020FF2E091D936476381C1B672BBAA76E2C249CF431A6013F813EA67CED91D9124DD |
|
CONTENT
ssdeep
|
96:TP9z8h7MSntVSTtyxhUSPRttet5obVSgSThckSgSTRg51SgSTRiBSgSTApt7iZ8X:j9z8hh6e/Qt5oAZu9ZNg6ZN5ZcpA8U8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b039c7c70578937a |
|
VISUAL
aHash
|
ffffc3c3c3ffc37f |
|
VISUAL
dHash
|
0c1a9e96960e0ec0 |
|
VISUAL
wHash
|
81c3c3c3c3c3c33f |
|
VISUAL
colorHash
|
06680000000 |
|
VISUAL
cropResistant
|
0c1a9e96960e0ec0,3faddcffbfafcfff,939b333333337363 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.