Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132F10BF1D450ED37035385D5A7BAAB0B7392C345CB470A8093F887AE6BDACA0CF15599 |
|
CONTENT
ssdeep
|
192:QmEimngknzDJ1Fnot8iIG3ZVIUyYMlLv1o8SzEqw:QmEiDkzNPW1Z3LIULMlLv1nzqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b112ce4ece4eb1 |
|
VISUAL
aHash
|
ffcfc7c3ffffff00 |
|
VISUAL
dHash
|
449a9a1606080000 |
|
VISUAL
wHash
|
8cc0c0c0f3ffff00 |
|
VISUAL
colorHash
|
07001200180 |
|
VISUAL
cropResistant
|
449a9a1616000000,e7a2bac6e4d4dede,0000000000000000 |
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.
Pages with identical visual appearance (based on perceptual hash)