Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C60579B5D594AE7B8132A7C9E9054E97D6EC8C1CCFC26933C2DEDB185AF6C88E113418 |
|
CONTENT
ssdeep
|
1536:JQDPOVh0Yk1gvVKAbXeF4pAPhhEwND0mGPfZerp/124k5RtLPO1GR+Gjleje8Q1V:JQDgUxXrtk5RtLGwMSlejIeVQelbC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c426943fc5b43bb4 |
|
VISUAL
aHash
|
0630267e00007e7e |
|
VISUAL
dHash
|
d4c4c4c4c40b94d4 |
|
VISUAL
wHash
|
06767e7e04007e7e |
|
VISUAL
colorHash
|
06208010000 |
|
VISUAL
cropResistant
|
dfdfdf5a7a5cdfdf,080c0b23232bcc29,8a8923266b75119b,9cd8d3d7bd55dc9c,cac9a797595a5bdb,d4c4c4c4c40b94d4 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.