Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9B176F34545A8352932C5E9DEB9E324E4C34E4DC6570692C2F8765F06C4EB5ED83228 |
|
CONTENT
ssdeep
|
96:G7uIPzuCv109TBn9YLfqtx8Svvux4/DbBwMXJs345hCo:2Xy9Tb1vvux4/hwMXJbYo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a30b0b0b2b2f0f9f |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
8000880800000000 |
|
VISUAL
wHash
|
002b3f270f0f0f0f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0100908185830000,0000080000000000,0000000000000000 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.