Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CA21034184B4F6FF0C7B2A3676E5F0991C4F289C5378505FAE89B4586ABCE9C9F8214 |
|
CONTENT
ssdeep
|
384:jtEyudrUugTTVybBoPOsOKDFITkbt61ZlBbxee5tB2:BE7drUugTTVy0O7Tkp61ZlBbxee5tB2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6a9d9490c3c26e |
|
VISUAL
aHash
|
ff0121fde7ffffff |
|
VISUAL
dHash
|
5d3363510cce5a52 |
|
VISUAL
wHash
|
a5000001e7ffabff |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
5d3363510cce5a52 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)