Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE835BE56AC4F82249F340A3A04F798FB2B6081BF59D4960744DCADEE7D94B305A72D3 |
|
CONTENT
ssdeep
|
768:QSIrT0TQH7c5YeYjHfk2RGDQbLnfFAkN4iMGJDAcTVzc+b42NB2jIGrTnzq8QE1N:QSIVfk2cDQHFAxUDJZzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94744bcb69212ed |
|
VISUAL
aHash
|
000000fffbc3cbc3 |
|
VISUAL
dHash
|
76e7d93b2b3b3b03 |
|
VISUAL
wHash
|
000000ffffc3ffc3 |
|
VISUAL
colorHash
|
02000000181 |
|
VISUAL
cropResistant
|
c1f92b232b3b1b23,33391b23b00c0ca0,c4667272c6c19939,14d45592d473d434,232b2b333b1b338a |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)