Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2234B726732B4B843DFA1DEE7382946B2D2989EE9C74690F1C5598D13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8eG441DawLM5BpwKM5BUwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvQ:aq+EsZ/8eGr1DawLM5BpwKM5BUweN2/s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e79293c46c929ce3 |
|
VISUAL
aHash
|
ffe7e78181e7e7cf |
|
VISUAL
dHash
|
204c4a33330ecc1b |
|
VISUAL
wHash
|
ff64e58181e72701 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
204c4a33330ecc1b |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)