Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18202F9F35268872D5583C1BCFBB5F250824AD2AFE256C991E79D477540DBCC0F622790 |
|
CONTENT
ssdeep
|
96:TG5rsWYD/NlQOFNACBqg2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:adsWuYENajywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f722dd887522758a |
|
VISUAL
aHash
|
ffffe7c7fffffffe |
|
VISUAL
dHash
|
30284c4d38280902 |
|
VISUAL
wHash
|
3c2424042c3c050c |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
30284c4d38280902 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.