Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA2EE308005717B573758D9E8721B2E74E39B2DCE230C469AFC978BBFE1DA1AD05589 |
|
CONTENT
ssdeep
|
384:CmxQPpKBmLMvUE4xjFUnruFV9feGglcpX7tl1l7f:7xUKwjRCcpX7tlf7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf1438c3c6689bbc |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0bd6e069697997ab |
|
VISUAL
wHash
|
00003c3cffffc1cd |
|
VISUAL
colorHash
|
16202008000 |
|
VISUAL
cropResistant
|
d42a0b1d0e1f3232,0bd6e069697997ab,dabd87989ca49824 |
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 1095 techniques to evade detection by security scanners and make reverse engineering more difficult.