Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D1251B5323027BB138382F27332AF5A71DA9381C60B577161F852692FECD16DD63A91 |
|
CONTENT
ssdeep
|
192:l4bnG3f5EqQSmVZsf/gkiswGs0hsJ4s0Dj22siVSoC1s:lp3sHuf/gkZwd0GJ/0DjiiVPCi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccd3033cfd43934 |
|
VISUAL
aHash
|
00bc9a7e3800c604 |
|
VISUAL
dHash
|
2f7032f061838cac |
|
VISUAL
wHash
|
03befeff3800c606 |
|
VISUAL
colorHash
|
30400010001 |
|
VISUAL
cropResistant
|
000000c0c0000038,2f7032f061838cac |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.