Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2B12FA93004242E2773CBD064927F1D22D2EFE7D0D9A88597EC44E51EC6CEAF4C60B9 |
|
CONTENT
ssdeep
|
48:mume8LHJ+oOREBTIif5AAGwFg8y8NXBhVl9v9BdrMHXGnTcK4w/6xYcth6IfhvIi:m9RLlijwF/BPfFBHTYuBWaxZQFp1I5Pk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4649b199b1b99 |
|
VISUAL
aHash
|
d7f3ffffffffc700 |
|
VISUAL
dHash
|
a606060000069e90 |
|
VISUAL
wHash
|
00e3ffffff240000 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
a406260000028e98,10229cdcdc9c0308,0000000000000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.