Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D429632B10C5DAFBB238699BBD7B269C38FA38D95304630C95D057D8AC6F648433593 |
|
CONTENT
ssdeep
|
96:MuI6/QiTMpfjMZQ2wDhAs4xoi28Carw23JMo1A97D9RKXCD03ppjN9xc7uxuwnuv:jxgpfwTxPXjN9kw/Pm+PmyUqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7663899386cc766 |
|
VISUAL
aHash
|
00343430303c3000 |
|
VISUAL
dHash
|
9669696064696896 |
|
VISUAL
wHash
|
003c3c3c3c3c3c30 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
c8c86986d469c4e4,9669696064696896 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.