Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4F319ED23109EDD048783F5FF28A2E8A35AE66ECA530E45D2FCC71925C1CBC9E19585 |
|
CONTENT
ssdeep
|
1536:YGFupFgN7kj0P2mNNOSD3O40sq5I8SzGVuNyF1bERjOAFuji6Okv8ZBD5I8SzGVr:3Ds3i3xRX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d2696c9c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178c |
|
VISUAL
wHash
|
20007f7f7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc178c,b6a42d2117152d6a,73b415b424c40a08,4541057969690145,4141714d4d714901 |
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.
Pages with identical visual appearance (based on perceptual hash)