Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C2432A07E036825309F02DF422B161D71D1DBCDE6636AD5A5F0E3289AF9C95FFE1290 |
|
CONTENT
ssdeep
|
1536:c418zsJ5YUA4w9OUoIUE+UfN/4LSZwgRcbko3hv6IcQRzSEEgy3LCyZibQsvBsJP:cz3yU5o356WDBEXQOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d647a3b21485bf46 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
ccc164a42c69023c |
|
VISUAL
wHash
|
00003018d4ffffff |
|
VISUAL
colorHash
|
1b200000480 |
|
VISUAL
cropResistant
|
2c6c00222680183c,dcc954c56424a42c |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.