Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EA3A770449A8E3C0277C3E47EE8BE1DE342B38ED9920A79D9E4E71D58DBBC49E41416 |
|
CONTENT
ssdeep
|
1536:1wc44ssRMwngYQSmBUcMhheg6biNQDW1LVI3371uabACPtI324yhDVo3h0z4GBvD:1oACr1Hnqk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e8663d961669969 |
|
VISUAL
aHash
|
1c3e3e36183c0000 |
|
VISUAL
dHash
|
f0e4e4e4b2f0ccf0 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
30206008000 |
|
VISUAL
cropResistant
|
f0e4e4e4b2f0ccf0 |
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.
Pages with identical visual appearance (based on perceptual hash)