Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E42C86592302F3A4157C39DBB9AF717131F81CDC756CE6A91EC82A519E0CA2FD27384 |
|
CONTENT
ssdeep
|
192:Y6mgM3xDCL9LpeLagLU4nuhg9Ym1Yh45h7S8bP5be7ro6:YvhpCL9LpeLagLU4nuhfuY6Wro6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2ba67d8a2f222b |
|
VISUAL
aHash
|
91efc1999983e7ff |
|
VISUAL
dHash
|
271e0f33331706a7 |
|
VISUAL
wHash
|
81e7c1819981e3ff |
|
VISUAL
colorHash
|
180060000c0 |
|
VISUAL
cropResistant
|
271e0f33331706a7 |
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 6467 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)