Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119B381D61628438CA14B996DEF2FFE05131FB0AAB95889801A4FC66CD2DF4D6F70752C |
|
CONTENT
ssdeep
|
768:eHfJ+t7ds1rRf6S7krG0RQ7HYk/9PyfR8MRERXQHK51qRXpNX/9PyfR8MRERXQHP:Yz0RQ7HYkFsR8MLqc7XFsR8MLqcMH0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8d5828588f4f2da |
|
VISUAL
aHash
|
ff00c0c098800001 |
|
VISUAL
dHash
|
e2220f13330f3737 |
|
VISUAL
wHash
|
ffefc0c0d9838303 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0000000000000000,01440b63614b0100,0000000000000000,7afdfefefffffffe,9d9dead4b694aaaa,1b3aeccaca6aced5,032186ccd0f2a323,4f1aaaca5336e646,e20a1733331f3737 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.