Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C2B6351140DEFB0243C2E4F7A1AB1AE2D98744CD235B87E3E8936A1FD7C54DD66229 |
|
CONTENT
ssdeep
|
384:XDVLnt7mHXXl3aY0NEIn6e9U32eBcwc0qE3PZX+JkCwiEpFO:XDVTV6XEawU32DzDsw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9616ade96d48ad92 |
|
VISUAL
aHash
|
0004060000ffffff |
|
VISUAL
dHash
|
c4cccccc033b3833 |
|
VISUAL
wHash
|
000606006affffff |
|
VISUAL
colorHash
|
33000400030 |
|
VISUAL
cropResistant
|
8c0808cec648088c,800080d0c0000080,8000803474a00082,003b3b0009323332,ccacccccccccc43c |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)