Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F035431674C083E96B34AD0FE857734283AF379E107941EFF6C10221A85EE57A6ADE5 |
|
CONTENT
ssdeep
|
768:vNmxqQJTPqT/msMIcVLQA0RE5c4EVHOOR:ExqY4/msMItTR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdf031660733cd8d |
|
VISUAL
aHash
|
80d8d8183838031a |
|
VISUAL
dHash
|
0a323232723232b2 |
|
VISUAL
wHash
|
f2f8d8d838b81b1a |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
b271e0a68ee071b2,2b2b3525351b2b29,a29268371754aaa2,0a323232723232b2 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.