Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAD195F24549A836663789E8DEF8E314E5C34D9DC6460681D7F8636F0AC5EA1EC83228 |
|
CONTENT
ssdeep
|
96:pz7d7uIPzpFCv109TBn9YLfqtxAWSv2ux4gDmBOz/wSPYDDP5350zJo:x/pMy9TbAzv2ux4gQOz/xYHR3m9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d55555556b2a2aaa |
|
VISUAL
aHash
|
00feffffffffffff |
|
VISUAL
dHash
|
8202810800000000 |
|
VISUAL
wHash
|
00c2c7c7f0f0f0f0 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0100908185830000,0201000000000000,8020008000600000 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)