Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1497275B156089D3F016342CCF3A66B6E22DE8284DA8913184BFD47E98EE7CD1FD17654 |
|
CONTENT
ssdeep
|
384:is1E44ER/KWiy99h44cZeWiy99MdCL/VPuIxRcUFO:+44ERv9h44cZ793RC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9959666699996666 |
|
VISUAL
aHash
|
00001818181800ff |
|
VISUAL
dHash
|
204cb2b2b2320da1 |
|
VISUAL
wHash
|
00000018beffffff |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
3030410b734d7171,204cb2b2b2320da1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)