Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19222C77111205A7F15438AF4F151AF16B19EF35CDE5BF86CB2AC82722BEBCA4C98E150 |
|
CONTENT
ssdeep
|
192:lA5AMAvA3AgAnAyZuDjASBrNigMqMmSJB/8tQiNJQRb+Qra9lAnlAt3LsrNY:iKzoQHA8uDjASBNbNUJN6NMb5+tAry |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bb4f00b1fb4e44b |
|
VISUAL
aHash
|
ffd97b1f191f19ff |
|
VISUAL
dHash
|
1813d5747375339b |
|
VISUAL
wHash
|
1f0fb91f190f090f |
|
VISUAL
colorHash
|
07000400030 |
|
VISUAL
cropResistant
|
1813d5747375339b |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.