Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E51965642A04D2F1671AA62F4E5F158C1DAB24FC2648E64F278139F2BE5ED0C467A60 |
|
CONTENT
ssdeep
|
48:sOZfIqTMYhq9Tl8Uhr8Uh39Edv2yQIBFB2/cBafVMqh:ssTyJ9tyik0Vh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e68c993366cc9933 |
|
VISUAL
aHash
|
ffffffe7e7ffe7ff |
|
VISUAL
dHash
|
0004324d4d320c00 |
|
VISUAL
wHash
|
3f3f1b0303030f0f |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
0004324d4d320c00 |
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 102 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)