Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11214EC617D63A832206F35DFA127130DA2C3C7C6EA9227E565F0D2288BB5C54BFE3654 |
|
CONTENT
ssdeep
|
3072:wzyU93pNLmVfMRJrNXGZpwM+WLg9wIBcJVoFf0T6j8EI:wH93pNLmVfMRJrNXGZyM+WLg9wIBcHoM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f807fa268568957a |
|
VISUAL
aHash
|
000008580000c1ff |
|
VISUAL
dHash
|
239c92d0b4921713 |
|
VISUAL
wHash
|
0042de78404affff |
|
VISUAL
colorHash
|
162012000c0 |
|
VISUAL
cropResistant
|
971717171f13b288,239492d094f49717 |
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 713 techniques to evade detection by security scanners and make reverse engineering more difficult.