Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1503363B691066A2F004342E6D72CBF2ED3C9D609C7734E47A7ECC32762CEDA59E25164 |
|
CONTENT
ssdeep
|
768:J6nwwCCMcs+d0E11ALQyLlueoEIGO59JnwwCCMcs+d0E11ALQyLlueoEIGO59hmm:GpNm0pyeaWoA0vxTAa8v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ee7c3b018c698 |
|
VISUAL
aHash
|
ff839f9fdfffffff |
|
VISUAL
dHash
|
432e3434b054304d |
|
VISUAL
wHash
|
00001e1e5e1edfe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3434b054304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)