Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B1253E0D494EF3B435782E5A77AAB4B76E1C345CF42094493F883AE5FC9CA0CE21958 |
|
CONTENT
ssdeep
|
192:Q6PfcYGyV5O8iCzCdxla0SwFjzJQxIMW0:Q6PE/8U1CW3la0S6hQIMW0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4ca69999b39999 |
|
VISUAL
aHash
|
ff00000018ffffff |
|
VISUAL
dHash
|
4c32b2b2b2b20030 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
0000000000000000,a280a2a2a2a280a2,a280a2a2a2a2a280,80803692883c8080,0000000000000000,0cb2b232b232b2b2 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.