Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BB23F3C11B697EF8A8B72B57E61673DD2D8C6C9C6B7AF06F3E5D606178AC444A012C0 |
|
CONTENT
ssdeep
|
768:ALni2C7sqo+E4tk+UIvhhBLvEb/1Z7T6I+aL/SEat456H4j0aLQtAsd:ALqBsLsD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e693d864999b2699 |
|
VISUAL
aHash
|
fec2e7efc3c3f7ff |
|
VISUAL
dHash
|
55864c498687854a |
|
VISUAL
wHash
|
bc40e6e7c3c0c1e7 |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
55864c498687854a |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)