Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE63A6B1B1A4A93B409742D2F7B6A77773F581C8DA861200C6FDC3AD47D6C88EC27991 |
|
CONTENT
ssdeep
|
1536:944/p6tksTXQVU/f+U2prZ17kXgjN8/pB+g:iB/f+USvYc6BN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
834d3a711dcec363 |
|
VISUAL
aHash
|
0004747e6f6f1f0f |
|
VISUAL
dHash
|
719dc4e4dcdc3d1d |
|
VISUAL
wHash
|
00047c7e7f6f070f |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
719dc4e4dcdc3d1d |
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 173 techniques to evade detection by security scanners and make reverse engineering more difficult.