Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103F133E1C054DC3B531285D6F7F52B1F7996C349CB020E8863FC52EB57DAC60CA22A9A |
|
CONTENT
ssdeep
|
96:Tk+V7mohOhHWfeGHVvLDd8VvLFAwvEUeBXKHFrexXIHkvxDX5u/inkD0PZ9QPJ:Q+V7mohOhHW1Hh/+hxwUMu6luGQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bdbd0f86d0d0d262 |
|
VISUAL
aHash
|
ff8181ffffff0000 |
|
VISUAL
dHash
|
60332bb42e0c1000 |
|
VISUAL
wHash
|
ff8181dfffe60000 |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
60332bb42e0c1000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.