Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2A3DD234269752B4437C2C1306A5B3BD1A6D98FFEE609410EDCCBFA2BF9C90742A55D |
|
CONTENT
ssdeep
|
768:qvpH5tpR4nXF6YjOpSpFlTC6rrWCMy37Rk1lEz:qvpZtpR4nXBKpSpFl26vbklEz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13d30f6d0d |
|
VISUAL
aHash
|
001f076e6e0f01f7 |
|
VISUAL
dHash
|
d8bd7ddcdcbcf70f |
|
VISUAL
wHash
|
000f037f7f0f01f7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fc377cdcdcbdf707,d8bd77dcdcdcb777,d5535bc51a19594d,1e472113161c3424,d8100c3232080001 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)