Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF427233B600CC2A8E9B558CF6C49989505DD345FB3248CAB1A491FF7BC4DF02A987AC |
|
CONTENT
ssdeep
|
192:Pv3JodhvZEZTRF/zRyBmxQ1rm3McnthWeNWbnfMmUU8VCoq:6hvZqTRF/z4f1rmofMmUFCoq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb384f664658383e |
|
VISUAL
aHash
|
00ff8fdfefffffff |
|
VISUAL
dHash
|
21381c980c0c0008 |
|
VISUAL
wHash
|
00060707e4e4fdfc |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
29381c084c0c0000,01012121212121c1 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.