Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C97443674219692A4437C3D134799B7AD1A6DE9FFE930E004EDCCBF62AF9C60740A21D |
|
CONTENT
ssdeep
|
1536:9uiNvebXYUgQmTa3MZo+Hd1+C0midNNWDDYnbItd+Smfu4/ZT4oU5yX0mw5I8Szk:9ZOQugfQKzsh44Yiu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acc6c66d838b8b39 |
|
VISUAL
aHash
|
fff7ffffc3c3c3ff |
|
VISUAL
dHash
|
67861626962b9696 |
|
VISUAL
wHash
|
b1c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
67861626962b9696,080808cccc080808,080808cece080808,0008303232300800,31a888aaaeaab2aa |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.