Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAF20B20B800EC2A00DF5AC866731626A2F98345D61306D9FEF6C3F95BAFC6DDA37554 |
|
CONTENT
ssdeep
|
768:S5MAs2R/j/492XXvnBEhO2XXh5S/CD3usn893/W7Uf7d:S5vs2Rz492XXvnBEhO2XXh5S6D+s8F/d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a24db32c927365b3 |
|
VISUAL
aHash
|
6000200017130fef |
|
VISUAL
dHash
|
9043cae5b6b6bccd |
|
VISUAL
wHash
|
f92020301f135fff |
|
VISUAL
colorHash
|
0b000000180 |
|
VISUAL
cropResistant
|
8f7ce08020a4a0f8,a981c5c5c1c3c3c3,9043cae5b6b6bccd |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)