Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17941EFF2D289AA3262528AC6FEB4B739F5D2018EF8411652C2F115FD03C9E7ED002A46 |
|
CONTENT
ssdeep
|
48:epWxqnmqfTwvlFx67jy07m7roj7ao77ro6:hUEvlj6S7cnd/c6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfb331c73131c698 |
|
VISUAL
aHash
|
ef3c3c003c7c3000 |
|
VISUAL
dHash
|
4969792af165600a |
|
VISUAL
wHash
|
ff3c3c307c7c3c00 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
3232b232b6323232,9c7c424c7e480c1e,4969792af165600a |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)