Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141842BBC13011ABDB02B87E5F950F3ADA12FD298EA93C94DF3EC828527C6C98CD55594 |
|
CONTENT
ssdeep
|
1536:sUE0hdOc4NFfI/6P0rl1HoknsWiXAuq8jvpYsURkCgHsHiXWVHjVGwOlP0rl1How:JE0cPPjvjURkvHsHFHjVGVVPbSPlKMK2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837d6e71794e6881 |
|
VISUAL
aHash
|
803f3f002f003d20 |
|
VISUAL
dHash
|
4b69f0d1dad1e5c9 |
|
VISUAL
wHash
|
803f3f007f087d3d |
|
VISUAL
colorHash
|
180010000c0 |
|
VISUAL
cropResistant
|
972a8f51fbcfd757,73cde64aecececec,99970eecf2f8e869,8b396f63d8ccc8f0,584865f4c8a872b1,395f57662a2b2a28,a7b399c646f0e2a0,7925bcf4e8d0f033,8f949294add6d4e1,4b69f0d1dad1e5c9 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.