Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193323F33B100CD6A899B56DCF2C0D749445EC346FA3148CA61A491FF7BC4DF0A9957AD |
|
CONTENT
ssdeep
|
192:6M3JEg0YcbcccmaM8aF0zs0sO0mN0az7McnthWeNWbnfMmUU8VCoy9:Jcbcccma1aFjSHH0fMmUFCoy9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38ccc33cc3333cc |
|
VISUAL
aHash
|
ffcfc7e7e7c7effe |
|
VISUAL
dHash
|
00181c0c045e1800 |
|
VISUAL
wHash
|
fcece4e40707253c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00181c0c045e1800 |
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)