Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171E2C6319119A93F1AAB76D2E770B32A72C9438ADD43072A42FC8B5D5FD7C90DD03495 |
|
CONTENT
ssdeep
|
384:1/IIcgrIIIII97lB93rb673XMDkI64HjRxiXMAyOgxB4C2aq1pW:ZIIJIIIIIDI3XMDkj4boMAyOQ4Iqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c3961c69c |
|
VISUAL
aHash
|
00e3e7eb3f3c1818 |
|
VISUAL
dHash
|
97cfcfcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0012e4ccd4400000,97cfcfcbf1e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)