Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DA3EE23425936264437C2C1347A5B3BD1A6D98FFAE709405EDCCBF66BFACA0B41A11D |
|
CONTENT
ssdeep
|
768:KjEgNtpR4nXF6YjOpSpFlTC6rrWSd0ji2f3i0waegu07Pz:CNtpR4nXBKpSpFl26voiEi0waegu0bz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13930f6d2d |
|
VISUAL
aHash
|
001f033f3f0f01ef |
|
VISUAL
dHash
|
d8bf77fcdc9ce30f |
|
VISUAL
wHash
|
000f033f3f0f05ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cfcdcbde70f,dcbd77fcdc9cbb77,4b4b8e4b36995357,4e8f9141434e4a5a,cc110c32320c0121 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)