Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9E108E75210871E9082D0BCFF62F490924ED0AFE1A6D9D0E69E87B514E7CD4F657920 |
|
CONTENT
ssdeep
|
96:TGscYhrOMeh3CHI/9CoI0PYeg2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:ascY1U3AI1Co/TjywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8607059593bf6a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2f2455775 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
869632f2c8577775,6083939383608084,23a30515a5b77b58,aaaaeb696d2d2d15,73535b4b4b597962,a6a7a5adadada632 |
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)