Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC427333B600CC2A8D9B958CF2C49989515DD345FB3248CAB1A491FF7BC5DF02A987AD |
|
CONTENT
ssdeep
|
192:FL3J6bNdev66ZzsI/W1ilxx0q4vMcnthWeNWbnfMmUU8VCo8:qbzev6wzsI/WUb4wfMmUFCo8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3c4c63625c3c3b |
|
VISUAL
aHash
|
00ff8fdfefffffff |
|
VISUAL
dHash
|
21303c3808080000 |
|
VISUAL
wHash
|
0007070727273f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
5a383c2848080000,01012121212121c1 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.