Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8E1E7FA5220875E4192D5BCFF63F0D0C28AD0AFE266D9C0D69E87B904EBCD4F556840 |
|
CONTENT
ssdeep
|
192:a0s2hmhnXhH2ZI2Cl+BqjywAcQSyUZxBcFL/W:JcRWlCl12NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8607859593bf4a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2f24f5735 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868633f2cc477775,6083939393008084,4d5555557576761a,594b67e7e725251b,6565652a2a2a6746,e6eced4bab2b1717,9919516366666414,73535b4b4b5b5a60,696d541414564e4c,62624a4a5a5a1818,252545696814968b,165eced6b69199a9 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)