Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10583D8373598552B522B0DD671B2FF9E3BE7D78CD7030968D2F812861BE3CA0AA95170 |
|
CONTENT
ssdeep
|
768:f66HZqZ4YDo2gO4xxiR1PpoLL4jZNbCPEMVsrMsg:hqZ4YDoJU/Rg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33393666626c68e |
|
VISUAL
aHash
|
e7e7e7e7e7ffffef |
|
VISUAL
dHash
|
4d4d4d4d4d0c080c |
|
VISUAL
wHash
|
2424242420202424 |
|
VISUAL
colorHash
|
07600008200 |
|
VISUAL
cropResistant
|
4d4d4d4d4d0c080c,01318493332d0000,a2c3ab6a69b23030 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.