Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFE122E1D004DD3B435385D9A7F66B0B7691C345CF020D5493F893EF5BDACA0DA22A99 |
|
CONTENT
ssdeep
|
96:TkfE1DtSTBJ8v67GIvFtGbFz4TVEXGHFrVoXeIHFDWX5z/MndYQJVISZmST5J:QfE1DcD8iFtGgAIzKdpJbDb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8d8727270d89c3f |
|
VISUAL
aHash
|
c0401818007c0000 |
|
VISUAL
dHash
|
189032b214f00000 |
|
VISUAL
wHash
|
ffac3838f07ec0c0 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
92926a9495d51b1b,41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a2b28c32b2b2b2,189032b214f00000 |
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.