Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182614376F4842B330543DBD0B7766B2B63C0D740D99A8B14B2FC870E4BDAE46DC16A99 |
|
CONTENT
ssdeep
|
48:bIufuMHzgtuaJ2aGmWCzPVlk8ZPxRChX8EEU5O6tf8TKa:bkMHzg9JrzPVK8ZZRa3O6tS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a954a6a958adc7 |
|
VISUAL
aHash
|
fffcfcd8fcfcfcfc |
|
VISUAL
dHash
|
3535393945140404 |
|
VISUAL
wHash
|
dd8cd888f8f0f0f0 |
|
VISUAL
colorHash
|
07600000180 |
|
VISUAL
cropResistant
|
3535393945140404,b3fb762c18cd2119,001024b2b2320c10,030b830345453535 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)