Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F73527611426A3F1493C6D19318E76AE3C2D60AC7E7894BD7E8831F27C6DA0DD361B8 |
|
CONTENT
ssdeep
|
1536:2P2UctsDcE80A42pWltyB07vGI9zAa07xVuz8xS:e82aMzonS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c0c,8493f393c0c8dcd4,4561417971690141,00454d7171414541,16a9e15299968648 |
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.
Pages with identical visual appearance (based on perceptual hash)