Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BF3EB63521C247F09735AC4E304272975C1A18FDB5B25D9B2FAC3A813FBDE1BA52683 |
|
CONTENT
ssdeep
|
3072:LSugJcGcpdyTiR6mXbKs2C5RaaL4Qw59rEMo7OorWEJhf3N1Yd7xvA6NR:LSugJIpdyTiR6mXbKs2C5RaaL4QwHrKu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36e2c392a6e3b28 |
|
VISUAL
aHash
|
81ffe7e7c7c7f7ff |
|
VISUAL
dHash
|
0f0c0f4d0c9e0616 |
|
VISUAL
wHash
|
8181e7e7c3c3c3c3 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0f0c0f4d0c9e0616,000002aaaaaa0000 |
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 982 techniques to evade detection by security scanners and make reverse engineering more difficult.