Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172F1B63131405B7A1A1BC7A076D4F34AB25FC35DC577621EB2E802A733C6DB2DD526A4 |
|
CONTENT
ssdeep
|
96:jV/NaQ/g1/Ls68Fo9BeFALakBynK7R6kjYfMtAsBRYxjuhkJRR883SM7Yfikv2fq:J/MQ/g1/LsMdYfeAsBRePRXfYfi+2fy9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b31d1c2699d963cc |
|
VISUAL
aHash
|
1f1f0fefe7e4fcfc |
|
VISUAL
dHash
|
70705c5c0c0c0000 |
|
VISUAL
wHash
|
0f0f0727e4e0f8f8 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
70705c5c0c0c0000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.