Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C13E7331145623703D3D2D4B3DA7B0EE292C18BCA135B8495FA83DD6BCAD9486F2B91 |
|
CONTENT
ssdeep
|
768:W5HhA8Rj1wme26rLqt8yvPuRoOcAFkqQEGbq6OmUnrIcetGl5Ux:WeoOccwbq/mLUl5Ux |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c63c383196c7b6 |
|
VISUAL
aHash
|
043c3e3c3c180400 |
|
VISUAL
dHash
|
9c64ece8f870ecc2 |
|
VISUAL
wHash
|
063e7e7e3c3c3c20 |
|
VISUAL
colorHash
|
30200010001 |
|
VISUAL
cropResistant
|
3efed0c5cc96b030,c88c8ec460633398,7e59dde535a29a89,e4e4cc8999131164,9c64ece8f870ecc2 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.