Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C72D67671C0E8077A71D0EC2EBBA22E216285D5CD5B45CC81D4B2BC7DD8CEAC4D63A1 |
|
CONTENT
ssdeep
|
384:d8IFaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:eI+2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3b7a2a0484c4 |
|
VISUAL
aHash
|
8181ffffffffffff |
|
VISUAL
dHash
|
333b40688c000000 |
|
VISUAL
wHash
|
00003f3f20280000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
333b40688c000000,53d3daf094dc98b8 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.