Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191D393D55618038CA14BCA7DFF2FFE05131FB1AABA558680294EC26896CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:m90RQ7Hs7efHIahBWYrxx0lFsR8MLqcvMFsR8MLqcM60:c0RQ7HKVaHNF74 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b993c4949393c79a |
|
VISUAL
aHash
|
ff81818381818181 |
|
VISUAL
dHash
|
27233b1b1b2b2b23 |
|
VISUAL
wHash
|
ffc383cb8bc181c1 |
|
VISUAL
colorHash
|
1e4010000c0 |
|
VISUAL
cropResistant
|
27233b1b1b2b2b23,64d4808282828180,037c989a9ccadaa2 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.