Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB73877075022836209B95CFA22B0F0E63C1E3CACA535AC966F453699BF7CE0FD956D4 |
|
CONTENT
ssdeep
|
384:L7d3gDr8K1IIICzIMz0s2qmz4YXs9Vl29kHbcYQdItAnsO9zluXmo5lqVd8Gn+P9:oIIIC8g0LzaLYKg1K2uNlqxn+PubAubW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9535eb52b605e9d0 |
|
VISUAL
aHash
|
0000062606007eff |
|
VISUAL
dHash
|
9e3cdecc9c9cd433 |
|
VISUAL
wHash
|
02024e7e46467eff |
|
VISUAL
colorHash
|
300c0000600 |
|
VISUAL
cropResistant
|
8c5cdaccaeedcec6,f0ccd0c0decef273,d4d4d4d423332b2b,963cdecccc9cdcd4 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.