Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176430AF53D99B4521B6291D3B1AF364BB33A246F780C55E0B0A0DEE930F8495506BF8E |
|
CONTENT
ssdeep
|
768:2yWuuPQJWqBfy/UD5l6sFB10XWX81LHVppAPmVbGIHC32+GRn2eIN22X8pEYSxHs:vyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a52d26d2d2938dd9 |
|
VISUAL
aHash
|
03030303ffffffff |
|
VISUAL
dHash
|
46361656196c4d4c |
|
VISUAL
wHash
|
03030303cfbf27f7 |
|
VISUAL
colorHash
|
0e201018040 |
|
VISUAL
cropResistant
|
46361656196c4d4c,e6a62626865684e4,03e070919cecacec |
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 699 techniques to evade detection by security scanners and make reverse engineering more difficult.