Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1405110264B01492B15738750E9D3FA089111DB8DDB659892F2CC05AF97C3FE88467328 |
|
CONTENT
ssdeep
|
48:eW8FQpdM5Qpc818Env4In7k++5VLje1dhyX/2:Z8FxQq818Uv46YbVLa1dhyv2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d496336cc9c6363 |
|
VISUAL
aHash
|
00000a1a1f0f0f0f |
|
VISUAL
dHash
|
80ccd4b2b0fcbcbc |
|
VISUAL
wHash
|
40606e3f1f1f0f0f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
c0803a0b8a9890e0,80ccd4b2b0fcbcbc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.