Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1531A64391DF5671EB3839710CF2403B268562B140D4D70A651FD9EB2BCCAAB0A7FDA |
|
CONTENT
ssdeep
|
768:6fTvuLGm6w7KW98mY1H1zunNIh3L3Cm4Je/uCtFLrwHy:Jb6wsF1VzENIhOm4Je/ntFL7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e664d09b1fd0d01f |
|
VISUAL
aHash
|
e3e3e32321f3ffff |
|
VISUAL
dHash
|
0f078747670b2002 |
|
VISUAL
wHash
|
e1e161210121ffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0f078747670b2002,e81468704996f903 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)