Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4C296B1A100273F42A7C3CDB351B71EA2D3934DDA85091653FE876E0BE6E50ED6352A |
|
CONTENT
ssdeep
|
768:jSXy5N22QPD2AU1Hv2IXQmCo0ft47sOy2+y9BH4cLIe:3QPD2AU1OoCoy47sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d4699482 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
1c4dc3e3cc4cb600 |
|
VISUAL
wHash
|
80f561200e06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
508080106c888000,144dd3c3c3cccc36 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.