Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10363C8217848E63702E361C68D68A71D7396E745CE110F84A9F45A7DABE3FE1D8431EC |
|
CONTENT
ssdeep
|
768:G34gkLI5n8/wLOhhXkSkLbnhBW5Txk8zeF+Uj+P+Hk6GxD9KKz34mRsF70fN7Kas:GW2TDGfr62UBX+aUkFODVeQ9Aadr+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b43cb61c57125f |
|
VISUAL
aHash
|
00ffffffffff3c00 |
|
VISUAL
dHash
|
96967070704c6831 |
|
VISUAL
wHash
|
00427e7e7e660000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
96e8707070684c70,134c6c644d0df1f1,0008103030080000,0000000049717161 |
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 273 techniques to evade detection by security scanners and make reverse engineering more difficult.