Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE123E1C444DC3B531385E6B7F5275F75A6C349CB020E8863F853AA5BDAC60C923A99 |
|
CONTENT
ssdeep
|
96:Tkfj7kh4lzH03feGnVa9AE1wvFqeBXUHFSetX7z/PVaxrQPJ:Qfj7kh4lzH031n4AE+ef9zHSrQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3034378bc3cfca4 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
d8cdc42008293906 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
d9cdcc0038300848,4667a94bda984f4e,0380000000000000,044424cbd4c1cdc4,3939381469693903 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.