Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172B16591E114AC37170B05E4A4EB7E1860F7C34AC715281992F44EE7AFD6F40CB75E6A |
|
CONTENT
ssdeep
|
96:Tmn2HnRWun4dcuqu744Do3aN3Bh/W6czLd/B9/:6+nrnxEDqzZ7/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc33676631cc3333 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
083232323232320c |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
20aaaad5e6a2b424,083232323232320c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)