Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC222CEB4264975F0193C1E8EB62F9D09289E28EDA31C8C4F6AD93A505E7CD1FD33940 |
|
CONTENT
ssdeep
|
192:ard/nQnonxqFyJlLRR9ZaeF/18UYnjywAcQSyUZxBcFL/W:M/nQnonxqMf8UYn2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcaa7722dc887788 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
303232b2b2323300 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3838 |
|
VISUAL
colorHash
|
00e00000000 |
|
VISUAL
cropResistant
|
284daca469949488,08b2324d94b2700c,303232b2b2323300 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.