Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1757140B364607D2B4327C99CE176B3B562E3110EEAA96D00A3ED82DF4BE2D41D933715 |
|
CONTENT
ssdeep
|
96:Tvz/js2G2VDZ2mgc7ABLlMps0jM1uDU4L9of8AEmb:jz/jngc76ep/q7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c33c38921ee5e3 |
|
VISUAL
aHash
|
8000606c6c000018 |
|
VISUAL
dHash
|
00c0c2c9c9d60830 |
|
VISUAL
wHash
|
ff006c7c6c6400ff |
|
VISUAL
colorHash
|
38000007040 |
|
VISUAL
cropResistant
|
00c0c2c9c9d60830 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.