Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13073D831A2122437511FE6E8F066B34ED013D30DC786DAD8B5F8235667CEC62E9926ED |
|
CONTENT
ssdeep
|
1536:7t6SX/U2N95BlLA3XkM6csQ9QB6cRMcy4vHG:x6SX845BlLA3XkvcsQ9U6cRMcyMm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94be5963e178c11b |
|
VISUAL
aHash
|
ffbfffe7e6000078 |
|
VISUAL
dHash
|
2e34348ecec88cd0 |
|
VISUAL
wHash
|
ffbfffc360000058 |
|
VISUAL
colorHash
|
0f640000000 |
|
VISUAL
cropResistant
|
966c3434948e0ec8,9a1954862c85ad29,e6e3a3e3c3ab2b3a,cc4cccccecececcc,2e34348ecec88cd0,060703050d0d0641 |
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 327 techniques to evade detection by security scanners and make reverse engineering more difficult.