Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15563F99A6455702A073340E384BB1F89B3395C2FF92905E1A5B8C7E573AC8F1316BB5B |
|
CONTENT
ssdeep
|
768:myWuWPyu/u5U/5sR8n+1S1LLH/DFdX8UOT4j8upxhBX6SZcLb7HttvEwvC3a6XoE:nIrXujVl1yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cc31cf61c96c39 |
|
VISUAL
aHash
|
c3cfcfefc7f7cfc7 |
|
VISUAL
dHash
|
129e9a1e16069a9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600000c00 |
|
VISUAL
cropResistant
|
129e9a1e16069a9e,0000047871712904,9f1b60f4def64c46 |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.