Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2325023B600CC264DEB55DCF2C4AA49451EC346FB3188CA62A481FFBBD4DF0A59979D |
|
CONTENT
ssdeep
|
192:I03JmVczcTchMlQXhKNnaMcnthWeNWbBiyVfMmUU8VCohDy:iczcTchMl2sNnjiyVfMmUFCohDy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e62399996666cc99 |
|
VISUAL
aHash
|
67e7e7e7fffffffe |
|
VISUAL
dHash
|
88080c0d00040000 |
|
VISUAL
wHash
|
47c727270f0f0f0e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88080c0d00040000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)