Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E410267D138A498071506F03F5031DCCAEF166CEBC2DA086AD050CD73F85C9987DAA7 |
|
CONTENT
ssdeep
|
48:/HnFdfPltMlFp+ueDiWzlLaDlBtl3ld1lRfhr:/lhPltMlFp/eFlLclBtl3lzllJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed925796924d1a4d |
|
VISUAL
aHash
|
7efff1f3f9f3f281 |
|
VISUAL
dHash
|
dc43333743079633 |
|
VISUAL
wHash
|
7ef7b1b1b1a1c081 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
dc43333743079633 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)