Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138B1733131085A3BE94383E5D776337B71E18249CA4B521166FE83B88BD1D8ADD77298 |
|
CONTENT
ssdeep
|
96:1KAM4buK8QWLhKceQzxLwwcb1xuEg3EZRUE65X3Lfsx:S4chKceEwwco5Qx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3328d668ccc37b2 |
|
VISUAL
aHash
|
ffc7c7ffe7e7ffab |
|
VISUAL
dHash
|
2c4c5c324d4d3257 |
|
VISUAL
wHash
|
ff840004e4e4ffab |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2c4c5c324d4d3257 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.