Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7F124E1C048DC3B135385E5B7F52B5F76A6C345CF060E8853F852AA5BDEC60CA23A99 |
|
CONTENT
ssdeep
|
96:TkU8h79oh4lzH030eGnV1L+IyEBSwvFReVX5HFU6exXAz/3V1LBzjQ0R:QUK79oh4lzH03snqIyEqniN6zv9jQy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3074579bc3cbc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
0ec9ec3068d9c4c4 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
d9c9cc2038300848,8400000000000000,04044020c9d4e9c8,79f99a90d4d4c4cc |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.