Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1E1E6E75220871E90C2D168FF62F4D0A34ED0AFE696DAD0EA9E87B414E7CD0F617950 |
|
CONTENT
ssdeep
|
96:TGLjHcr75eh3FLPagaIuP0g2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:aLjHaU3ZPagaZcjywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e86078595939f5a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2e2475735 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868632e2cc577775,6083939393008084,4d5555557576761a,594b67e7e725251b,6565652a2a2a6746,e6eced4bab2b1717,9919516366666614,73535b4b4b5b5a62,696d541414564e4c,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.