Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12181EA7490209D374192D2C8A9B56B1F33C2D388CB434B0967FC979E6BEAEAEDC14158 |
|
CONTENT
ssdeep
|
48:T7YpcrUC1N+63eIEZnGI7xwoHuImqawv82GT8JKwiIERB6ZmFwqDfNCjpFxa:TuHC1xetwoHp/J8hT8swbQFwqDULw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9dc02eb2fa62495 |
|
VISUAL
aHash
|
f8fcfe9bfbd96f00 |
|
VISUAL
dHash
|
60b0b03253b3d9cc |
|
VISUAL
wHash
|
f8fcda98bb590d00 |
|
VISUAL
colorHash
|
07242200000 |
|
VISUAL
cropResistant
|
60b0b03253b3d9cc,6c6c6f6f6f6c6c6c |
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 283 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)