Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1411202E2C094A83A476291C5FB727F6F77E1C284CF160D1453F8536F5BCADA1CA224A9 |
|
CONTENT
ssdeep
|
96:TD/zYh7MS9tVSTbdqtxhUSPRttkQ8v67xeR/M6tmMThros8TYbBf4LsGGAT431:3/zYhhsf03/P8i4M6YMFroswiBfwsU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3f3007c8373837e |
|
VISUAL
aHash
|
ffffefe7ffff003f |
|
VISUAL
dHash
|
0a084d4c8cd000d0 |
|
VISUAL
wHash
|
e7e7e7e74200003f |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
0a084d4c8cd000d0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.