Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBD3A4D55618138CA157CABCFF2FFE05131FB1AABA458680298EC26896CF8D1F71752C |
|
CONTENT
ssdeep
|
1536:Xz0RQ7HWnM+BVmxXB2kgc1ztsSoahDuCS022zk+M1yPlFsR8MLqcvbFsR8MLqcMd:D0RQ7HiMQVmxXAkgc1zts/aZA1y4KO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc969349c7278639 |
|
VISUAL
aHash
|
ff818181818181ff |
|
VISUAL
dHash
|
2f3333333333333b |
|
VISUAL
wHash
|
ff838381c18183ff |
|
VISUAL
colorHash
|
0e006000040 |
|
VISUAL
cropResistant
|
2f3333333333333b,aeb2b2beff96e8e2,b4f2e0f2f3f3f0f9 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.