Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10905757202D8A37E062B87D89F37D92463FA45CBE7A78AC4425DC7F15876CD2E02A4C5 |
|
CONTENT
ssdeep
|
6144:1u9ywSHPzeqd5mSq3X2vUET1F8dDsvJ7pkFk:1uypy3X28JGvJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad837cd23c2f816c |
|
VISUAL
aHash
|
fffffbb3ffff8181 |
|
VISUAL
dHash
|
c0606353c0802333 |
|
VISUAL
wHash
|
ff1e01013fff8181 |
|
VISUAL
colorHash
|
06401018000 |
|
VISUAL
cropResistant
|
c0606353c0802333,d268646070687270 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.