Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102E1B730E0242D2243538AE9F5F5F75D7286C36AC70A289576DC87FA2FC1EC259642F6 |
|
CONTENT
ssdeep
|
192:i8nI3g+5JgPcxLZQUfqxdnCDO7PCS0uZSc1d1wENye:iX5ePcrQUfqxduO750u4lEd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce6631999b66648e |
|
VISUAL
aHash
|
0000003c3c180000 |
|
VISUAL
dHash
|
00106e6171710c20 |
|
VISUAL
wHash
|
0000343c3c3c0000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
8200808080808080,8200808080808080,00106e6171710c20 |
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 219 techniques to evade detection by security scanners and make reverse engineering more difficult.