Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC0331709059A93B02F392E167B96B6FB3D9A2C9D903070426FCC39D8FDEE54ED21161 |
|
CONTENT
ssdeep
|
768:OHwyzdoof/sSVfQn3QUQIQeoZ1WQ8ymoKko:8wyzdomYAHjeoZAQ8ymV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3474ef1b0b839c5 |
|
VISUAL
aHash
|
ff2020ffffc3ff00 |
|
VISUAL
dHash
|
4d65e1e8cc1b23e8 |
|
VISUAL
wHash
|
ff00007fff817f00 |
|
VISUAL
colorHash
|
090000003c0 |
|
VISUAL
cropResistant
|
b2e6fce8a8079336,70747846a6e6ef26,3a6b933b2b5796ac,4d65e1e8cc1b23e8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.