Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6A3DC27422925274437C2C1347A5B3BD1B6D99BFAE70A410EECC7FA6BF9CA0741B119 |
|
CONTENT
ssdeep
|
768:DbGttpR4nXF6YjOpSpFlTC6rrWkDkDRmS8F0kKOOGVG:DbmtpR4nXBKpSpFl26vbkMSw0kKXkG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9712ede8788ce961 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
1c5cdc1c0c0c002b |
|
VISUAL
wHash
|
00040406c6ffffff |
|
VISUAL
colorHash
|
0b200000c00 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,0000408080400000,000041a121410000,00204020a0004000,8a9216b29850a6d2,0c000956562b332b,985cfccc1cdc0c0c |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.