Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0E11EE0C014ED77435A85C4B7B56B4B7AD1C7C9CB03084893F883AE5BCBCA4DB255AA |
|
CONTENT
ssdeep
|
96:Tk45SzeFvMSfuSTCctutQUSS8lWoXwvFWetXFHFYzexXIz/JQWYZDYfGJ:Q45SzeFdjWcktQfWHH+aqzt4uA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9aade3229d1ec0e3 |
|
VISUAL
aHash
|
ffffbf071f0404fc |
|
VISUAL
dHash
|
320b2935adadcd59 |
|
VISUAL
wHash
|
ffff1f00170400fc |
|
VISUAL
colorHash
|
06601008000 |
|
VISUAL
cropResistant
|
320b2935adadcd59,e1c191994988ede9,6c6c2c2c3bbb8d0c,1e3b4bc9c9cde1e3,29292b2323333737 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.