Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B838B23411979274437C6D130BA5B3BE1E6999FFAE70A410EECCBF62BF9C90741A119 |
|
CONTENT
ssdeep
|
768:iJjiuSEEiOnpR4nXf6YjOpSpFlTCtrr6bVU8d1pHo:MjLSEENnpR4nX/KpSpFl2tv671pHo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acc39334d26dc93c |
|
VISUAL
aHash
|
ffff8181838383ff |
|
VISUAL
dHash
|
dc2b333337333717 |
|
VISUAL
wHash
|
ffeb8181818181ff |
|
VISUAL
colorHash
|
0f400018000 |
|
VISUAL
cropResistant
|
dc2b333337333717,ccc0b3c6c671f2b6,3333333361e1e073,f0d0d07373737373 |
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 122 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)