Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B7366725242BE3F118382D1835CD36DE386DA09CBA74A8A97E8531F2BC6DE1DD354B4 |
|
CONTENT
ssdeep
|
1536:aXk2uR+Dca40W4kfqnryx0prG4r/aO01xVuz8NY:QcmE+/iJY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e850a6b6363eb664 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
94d3933393302307 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,252bd5dcaaa25657,1211b16d695dabab,38789d9c8c8c8d8f,b263739595494b47,1a003b3023270017,8c93d3d3332b9313 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.