Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B0484717E463437117F238A5A329F1D61C2D389CF1269D053F4836ADAB2D90FADB289 |
|
CONTENT
ssdeep
|
3072:ppw16rWDUwxfy+3KQgceuiDmuG2bZRxc08sZvrREcmXiqx6KQse24YSW2orkiqpb:ppw16rWDUwxfy+3KQgceuiDmuG2bZRxx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab5619c611eb0e7 |
|
VISUAL
aHash
|
02ffffffff3d1840 |
|
VISUAL
dHash
|
9e8611884ca12195 |
|
VISUAL
wHash
|
02f3fbe3ff1d0040 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9e964110094c31b1,2636b4a1c2d972f2,20263a3a3b392616,a080a0a0a0a0a0a0,4091d1d7d7916580,8040404040404080,3131b1b0698d9195 |
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 490 techniques to evade detection by security scanners and make reverse engineering more difficult.