Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAE1D5F79220875E8182D1A8FF63F0D0824AD09FE665D9D0D79E87B804EBCD4F567950 |
|
CONTENT
ssdeep
|
192:aDHh6hDh5U30ks7+jywAcQSyUZxBcFL/W:gBYFxksy2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8607859593bf4a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2f2475735 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868633f3c8577735,6083939393008084,23a20415a5a73a5a,656565262a2a6766,a4eced4bab2b1317,9919516167676414,73535b4b4b5b5ae4,6969751515554f4c,66624b4b5a5a1995,a52565693c14ca8b,164eced696918989 |
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.