Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192339576E0302E3B408FB3F4E26567C652939756CAD207C0E2ECA35D1BCAD90DA5369D |
|
CONTENT
ssdeep
|
768:yPoR0QY6HGkjwFsH/AbMPhPexeeD/f+HnQn:yPoR0SGkUFsH/AbM5PexeeDOnQn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f149cf62c8c3cbc8 |
|
VISUAL
aHash
|
ffc3c7c3c3c3e7ff |
|
VISUAL
dHash
|
8316161e160e0a32 |
|
VISUAL
wHash
|
78c30303c3c3c3db |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
8316161e160e0a32 |
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 438 techniques to evade detection by security scanners and make reverse engineering more difficult.