Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E02CBE1D084ED3A435385D8A7B96F5BB7A2C385CF03094453F483AB9FCADA0CB15599 |
|
CONTENT
ssdeep
|
192:QXunfzDJ1U1t8iIGt0yV2zUczx5+yqfaqY:QSNi1Zt0w2olZaqY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d189292924de7 |
|
VISUAL
aHash
|
fff3f3f3e7ffff00 |
|
VISUAL
dHash
|
0216060608120000 |
|
VISUAL
wHash
|
39230303e3fbff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0216060608020000,9292986262b2b0c9 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.