Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10123D63154C47B3B56D383C89352EE0BF2929144E23ACA4AF2E2C31B67C4DA5CD67A5C |
|
CONTENT
ssdeep
|
768:1d1doXmCMkYXx+8d+cc6bXo9Mts5WTRRlSffgQJnItO//bxPOz638f7agMMKrpJ3:1dnCmbkYh+8d+cc6zYMtsodyfJmtO/YM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebcaeac894 |
|
VISUAL
aHash
|
ff06060606ffffff |
|
VISUAL
dHash
|
79ececccec3c382d |
|
VISUAL
wHash
|
fd0606060608ffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001416161450162,96d6e8b294710f8e,c0383c2d680c2c2d,ecececacccccccec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.