Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC44295432883C6512474BB73723B1D1F99B493FBC448C07EA84FD1865E9A3AF9E9932 |
|
CONTENT
ssdeep
|
6144:SDDL92fZvI+hJPQvxmZs2ybXpp0WiOfzTruhUsn+1/mbjLOy:6HYfVhJPQvxmZs2ybXpKWiOfzTruh3+o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb1c9c6b969cc192 |
|
VISUAL
aHash
|
8383ffe3e1e1e3ff |
|
VISUAL
dHash
|
272f7c0b4b4b4bdc |
|
VISUAL
wHash
|
8381afc1c1e1e1ef |
|
VISUAL
colorHash
|
07002248000 |
|
VISUAL
cropResistant
|
272f7c0b4b4b4bdc |
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 233192 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)