Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1331362730185AABB01D793D062711B6AB2923396FE2F030757F4878E5F97E94CC66827 |
|
CONTENT
ssdeep
|
384:9UrxEcNBXELiy/Y+nPacL6Skz+xFrxEgEosAx/v:Sr2KZELk+Cu6SG+xFr2DAJv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d99c663a998ca693 |
|
VISUAL
aHash
|
00007e1818000000 |
|
VISUAL
dHash
|
31f0f033b2ccd4d4 |
|
VISUAL
wHash
|
18187e18187e7e7e |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
00001c1da3a40090,202f2b216d6d6991,31f0f033b2ccd4d4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)