Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189C42AF093919AFB40878BE4B460F399E15B567AEB67E54CE3C88B557BCBC1E8C10490 |
|
CONTENT
ssdeep
|
3072:rP5g1iDeo7kZEhZeiHPCuuPZs5RNL1ZujVgub5tTZ/rvLfqLJDZEfZeiHPCuu1Zd:tg1gejh8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4069716f442d79f |
|
VISUAL
aHash
|
240000400000ffff |
|
VISUAL
dHash
|
ec22a08014004d0a |
|
VISUAL
wHash
|
ff00f8d00000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
08000d0a10021233,ec64628086300009 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.