Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0F35B2432087A3D296783D6B1E97316B269D349C11E4418F3ACD5B533EAC99F47BBC8 |
|
CONTENT
ssdeep
|
3072:lrN4S+o+r6EQDBId99YzcAZRjLrxEjTj/mN6ZXt1967+ph:lrN4S+o+r6EQWdwEj3OSXt1967+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c5eb3276434999d |
|
VISUAL
aHash
|
023c3c1010003e7e |
|
VISUAL
dHash
|
d67170b3335bf0f0 |
|
VISUAL
wHash
|
1a3c3c181101ffff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
d67170b3335bf0f0 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.