Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12ED154E1C114DD37471286D9F7F6AF0B7691CB4ACB03158497F882BB9BCAC60CB22599 |
|
CONTENT
ssdeep
|
96:Tk9jzeNNeSTgGpBof0CwvFZehXqHFReggX0dX/XLt7d6yt796bt7BxJ:Q9jzeTkGpBoscUuKXjf6ynkL3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7c398669a986738 |
|
VISUAL
aHash
|
ffe3e3e3e3e3e3ff |
|
VISUAL
dHash
|
000f0b0f0f4f0730 |
|
VISUAL
wHash
|
ffe1818181e181ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
000f0b0f0f4f0730,dcf3f1e87bfd7f7f |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.