Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FD275319315192D64238AE0FBA1B73452AD814BC95B845CF5BC52B623CAC9E7A233DD |
|
CONTENT
ssdeep
|
384:7L5/sOEod7163UwIYcwEXKhsKKJhLQ+AUR3j8Zw/QLzsfGSJFAP:7L5/+od716BrSQ+PR3j8Zw/QLzeGuFAP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4cb033e765b264 |
|
VISUAL
aHash
|
00181838382c30ff |
|
VISUAL
dHash
|
1070707060c9d018 |
|
VISUAL
wHash
|
003c3c383c3c7cff |
|
VISUAL
colorHash
|
38000006000 |
|
VISUAL
cropResistant
|
1070707060c9d018 |
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 230 techniques to evade detection by security scanners and make reverse engineering more difficult.