Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDC2A3B6E2C6313F524383CEFB25BF7DE0E3415EC5960A09CAFD19A46B92D96D6C0049 |
|
CONTENT
ssdeep
|
384:EaFXi6uPA6DkCpPCpkUdf0Q4cEH7NLADXmu70MTy4yS4wUjwzYfMhExsfR7CW/s8:FFUNUYa6IIA5dIfHBOykjj/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc0c013ce1fe11e |
|
VISUAL
aHash
|
ffffcfaf0f0f0f9f |
|
VISUAL
dHash
|
88a09a6a6a1a7a78 |
|
VISUAL
wHash
|
7c7c8c0407070f0f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
88a09a6a6a1a7a78,958a8aada5b5b595,4e831341a4d4ec6c,385caea5d62f5d3b |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.