Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168745933421935260537C6D430B99B37D2A6DE5FFAA70A010EECD7E72BE9CA0745B11A |
|
CONTENT
ssdeep
|
1536:hEB4IIostsEJPjQBq1Wixx2tGhFvt8VPB6RxknNucRGyAx2UdP38NEfoUrbkxhp3:KZ4LqfGhpQ6Z3F2hhdyGzPr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d34346dc6c91697a |
|
VISUAL
aHash
|
206c2e0ec0cecec0 |
|
VISUAL
dHash
|
c8c8d8da10181c08 |
|
VISUAL
wHash
|
206c2e0eeceeeee0 |
|
VISUAL
colorHash
|
30000000e00 |
|
VISUAL
cropResistant
|
d89818183270e0c0,8c8c88f4e880e0a0,c8c8d8da10181c08 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.