Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198B3EE23411975274437C2C134AA5B7BD1A6D95FFAE70A404EECC7FA2BF9CA0742B129 |
|
CONTENT
ssdeep
|
768:ZrtpR4nXF6YjOpSpFlTC6rrswXpoC2mn31jUmBCf08Q:ZtpR4nXBKpSpFl26vrpoC2iJUmBCMf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9202ed3972ef5961 |
|
VISUAL
aHash
|
00040404047fffff |
|
VISUAL
dHash
|
f9ecececdcbc002b |
|
VISUAL
wHash
|
000e060604ffffff |
|
VISUAL
colorHash
|
0b002000c40 |
|
VISUAL
cropResistant
|
4548c8ed10202080,0000408080400000,8000619191610080,0000408090004080,888a4448289e2232,fc000956562b2b2b,d1fdecececec9cfc |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.