Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1514387374104652BCA33C1E47637533AD393968ED3B30D456AFCC7AA5BC6E618B3A219 |
|
CONTENT
ssdeep
|
768:Laj3wlJhBWYYyNSXfdKOQP52kF31CRa5ABt+aezV:urwlJhHYpkt5F31CRasJezV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd13c26c4f3b3095 |
|
VISUAL
aHash
|
007e0e0e8e81ffff |
|
VISUAL
dHash
|
d8d8183a383b3f02 |
|
VISUAL
wHash
|
006e0e0e0e81ffff |
|
VISUAL
colorHash
|
0b008000c00 |
|
VISUAL
cropResistant
|
d818183a383b1f33,00b086dad0ad40c8,9199162d39381919 |
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 254 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)