Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161E130E1C454EE37476385C99BF56B0B73D2C349CB421D40D3F883ABABCAC60DA255A8 |
|
CONTENT
ssdeep
|
96:Tk7ksakfSzeFvMSfuSTCctutQ6SS8lWyt7z6jkvFOOXSNwvFkepXtz/bsYfYfGJ:Q7Ha+SzeFdjWcktQhWyx6jxQnzQsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a5c7d770b5a6285 |
|
VISUAL
aHash
|
00f318183fffffff |
|
VISUAL
dHash
|
3116f9f9edcc10c1 |
|
VISUAL
wHash
|
00d018001df7ffff |
|
VISUAL
colorHash
|
07298000200 |
|
VISUAL
cropResistant
|
3116f9f9edcc10c1,6929090929090989 |
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.
Pages with identical visual appearance (based on perceptual hash)