Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E435B73672178AD83DB42EDFB386E59B6C5949DE8870440B29866ED23C7C817283B74 |
|
CONTENT
ssdeep
|
1536:a7EdfQMw+EsZ/8ieEsDT1eJRwMjBORAMjBHDrpRXPZlQaQD9OehM+BrUgq4z:a7EdfQMpfR8RFDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad0d4d4d4d5d4d4 |
|
VISUAL
aHash
|
ff01010101010101 |
|
VISUAL
dHash
|
4b130b030b0b0b03 |
|
VISUAL
wHash
|
fffdc1c1c1c181c1 |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
4b130b030b0b0b03,b08090889085a082 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.