Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B43C7305200153F351BC798B2A1E76DD2DBE30ADA0B8415B3BE52636FDBDE5DA63284 |
|
CONTENT
ssdeep
|
768:1W2ZInakSrRHmSiFirioM7gUgMgOc4PMxdxkxdznxvjeSNq9qA2uBqr+XgUN9Mdj:vrRHZy/8X89x1QOJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a46d30cd1fcf2370 |
|
VISUAL
aHash
|
0303073f1f170707 |
|
VISUAL
dHash
|
36264e6e36b62c0d |
|
VISUAL
wHash
|
0307073f1f1f0707 |
|
VISUAL
colorHash
|
00000002006 |
|
VISUAL
cropResistant
|
cdad3dacccdada5a,abab9c5c5d952f2b,004c122f2f164000,191103b33d591b03 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.