Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECC25F51618C5D3ED541CA8EE316BA37368A06CF9E02CB00A5B4632D5CD2CDFDE6A39D |
|
CONTENT
ssdeep
|
384:ZEri/iVVWpP50GHuhjinRU1WSrftZnnu6eMI3wp08ibV44:H90GHuhjiRXMIAW8i1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acc79369633c2cc3 |
|
VISUAL
aHash
|
ffff9391d193dfff |
|
VISUAL
dHash
|
2280373303373082 |
|
VISUAL
wHash
|
9f7f010101117f7f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2280373303373082 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 3 other scans for this domain