Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E26368A442B93FE383CAF1A172D35AF3838515CF63868306E153E99BD7EDADE11114 |
|
CONTENT
ssdeep
|
768:9beKfScJxvomdka+USOjhqDuiB3VVL38Wuir:9bHfScJxvomdN+US6hqDuiB3VVL38q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
983ba76d1dae4292 |
|
VISUAL
aHash
|
01c84c000000ffff |
|
VISUAL
dHash
|
1b9ba931b0903d98 |
|
VISUAL
wHash
|
01cc7d0808c8ffff |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
1b9ba931b0903d98,1c591b239b988989,8486d343c3929101,4b4b4b4f4d2969c9,70384c26136b71f1 |
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 92 techniques to evade detection by security scanners and make reverse engineering more difficult.