Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFE2997C12D196BF009781F1B674BB35A28A8789C72366D7A3EDD35F1BC9C86CC11168 |
|
CONTENT
ssdeep
|
384:zg5JAwvQC1RyAIeiQCBSAUiaEZOdgUqNcrKbXlxjUcCgFc:zg5JATCGAf7CEAH94CBcmjUcCR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e493994c93656c9b |
|
VISUAL
aHash
|
e7e7e7e7e7c3c3ff |
|
VISUAL
dHash
|
2e0c4d4d0c969616 |
|
VISUAL
wHash
|
81e7c3e7c3c3c381 |
|
VISUAL
colorHash
|
07003000080 |
|
VISUAL
cropResistant
|
2e0c4d4d0c969616 |
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 194 techniques to evade detection by security scanners and make reverse engineering more difficult.