Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131233A726332B87843DB92EEE7382A46B2D6548DE8C74590F5C95ACD13C3CC16297BB4 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G8DCRsWDVSrM7BUSpM7B+Uuix+y9dQpUDF1E56ITmHx3naOhqePqDvI:aa+EsZ/8DEzDVSrM7BUSpM7B+Uxx+y9r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbc56ec495c49195 |
|
VISUAL
aHash
|
f1818f8f8f8d8181 |
|
VISUAL
dHash
|
43595b5b5b594911 |
|
VISUAL
wHash
|
ff818b8f8f8b8181 |
|
VISUAL
colorHash
|
33c00400000 |
|
VISUAL
cropResistant
|
43595b5b5b594911,fef9e9c1a2e6ccc9,7438387c3cbc9dac,039a9a9a9adaca11 |
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)