Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E9329A43A59F5665AB3439310EF1503B378562F540E4C20B350ECAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:ECXPvbpWpFo2h20VTgHd8tVPTMnEXCAEuW8ne1KG:NXspMug98nKAI8nO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1696968c3c3d3d2 |
|
VISUAL
aHash
|
81c3ffffffffffff |
|
VISUAL
dHash
|
9696494812080000 |
|
VISUAL
wHash
|
00007f6700000000 |
|
VISUAL
colorHash
|
07202000040 |
|
VISUAL
cropResistant
|
9696494812080000,bc8cd475edf55239 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.