Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8036433918E9836155242CE72313B1DA2A49945EF73F9E063E1425CABF5F22D423EF6 |
|
CONTENT
ssdeep
|
768:2tG99Gvmx10Uai+dPhCTfLAiBv/zPwozCvNHCtNNgwaRzsJQ2rmD6qdqw6wh9I3p:YmYDQ4fYcfM1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6396d3cb2362786 |
|
VISUAL
aHash
|
043c3c7c7c103c3c |
|
VISUAL
dHash
|
d4f0c8ecf4f4e46c |
|
VISUAL
wHash
|
143c3c7c7e303c7c |
|
VISUAL
colorHash
|
30400030001 |
|
VISUAL
cropResistant
|
c8e0e8baa3b252d8,2e1a9cdc9998ac23,7b99e8686ce25a50,8c1c1d189c9ccc1c,7b7474f059313d2e,c7e5e6e8408cb4b1,d4f0c8ecf4f4e46c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.