Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CC381D55618038CA14BCA7DEF2FFE05131FB1AABA548680294EC268D6DF8D2F71752C |
|
CONTENT
ssdeep
|
1536:bS0RQ7Hs7yf2NDQElFsR8MLqcvyFsR8MLqcMv:20RQ7HK3DQ1Fm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8ea439a39a53cc3 |
|
VISUAL
aHash
|
ffffffdfdfdfff00 |
|
VISUAL
dHash
|
392916333b32c830 |
|
VISUAL
wHash
|
9fd98181899fff00 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
312916371b3b3280,0000081010101008 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.