Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3A2EE308005717B573758D9E8720B2E74E39B6DCE230C469AFC978BBFE1DA1AD05589 |
|
CONTENT
ssdeep
|
384:CmxQPplAmfMvUE4xjFUnruFV9feGglcBX7tl1l7f:7xUl/vRCcBX7tlf7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c72c38c3c7649b3c |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0e106169697993ab |
|
VISUAL
wHash
|
003c3cffbf3c4040 |
|
VISUAL
colorHash
|
0600e000000 |
|
VISUAL
cropResistant
|
d42a0b1d0e1f3232,0e106169697993ab,daa587989ca49824 |
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.