Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D80462B23D823436322F19CFA047271C61D2D3CEEA1764D0A6F892A49BF5ED47BE2155 |
|
CONTENT
ssdeep
|
1536:U84wogWSf5KcQHpmeE18eFsWeL28eCZ8epF8enApyVt9AGobP9K5DJEU2Elj1s6X:r4uMB5DJEU2EljKiB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac3baca929adb924 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
07000300000804c7 |
|
VISUAL
wHash
|
e700810000ffffff |
|
VISUAL
colorHash
|
3a000038000 |
|
VISUAL
cropResistant
|
0806061bc7c7db03,0f00000101000000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.