Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA620FB661089A7301A3D3E5E7719B1F7A82C249CA931786E2F8D34D2FC7E96CD51308 |
|
CONTENT
ssdeep
|
384:JOumS1is2Sr6oaCfQ11is2Sr676TVDsPjYqKoRGfAVfGEDZ:JOumS1is1r6olI11is1r676TVijRoAVP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d9230cec63193 |
|
VISUAL
aHash
|
c3c3c3c3c3c3ffff |
|
VISUAL
dHash
|
9696969696969668 |
|
VISUAL
wHash
|
c3c383838181c3ff |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
9696969696969668,1371091111314971 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.