Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188D31F3206069CE755D2E2C077B66F0A62C1A309DA93830757FDD38E2FDAE91DD68642 |
|
CONTENT
ssdeep
|
1536:CP5544z1Ctb4veee1eeeqeeeheeekeeepeeeJeeeQeeeLeee4I5do1jd7Ivd6deb:1VQ69p+Qgy9ZXOaSztj5KlYUy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966cc93ab646e943 |
|
VISUAL
aHash
|
00007006060038ff |
|
VISUAL
dHash
|
32f2c4cccc84c0f0 |
|
VISUAL
wHash
|
1818727666047eff |
|
VISUAL
colorHash
|
3ac00018000 |
|
VISUAL
cropResistant
|
3cf4ce87a586cc70,c4e022626207c058,32b2c6c4cccc23c0 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.