Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB431B9D7851A01A4B7340E384BB1ACAB7391C2FE81C45E1A4B4DBE5B2BC4F5315BB4B |
|
CONTENT
ssdeep
|
768:8yWufPcNwGHzuyT9H+/vFD5s/WWX8UJ9lJaqCVcYoXi0exorT2Hlj3C0JrOxH8VW:LlE0yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac2c2c3ce1e31 |
|
VISUAL
aHash
|
fc8f879f8f9fffff |
|
VISUAL
dHash
|
413d2c201435e6c2 |
|
VISUAL
wHash
|
bc87030b0705f1fe |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
413d2c201435e6c2 |
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 470 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)