Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED273B1D295D9374193C2E4D6796B2B72D58289DA83132293FDC3AD0FDACD2ED13089 |
|
CONTENT
ssdeep
|
384:YAqTsF0kD7vgB7s7O65NGEDmIIyAe2dpOI69H+Wr71wpK9yPXo:OAFPr265pDmIIu2L69Hr7+K9yw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e8ab2a2b2baaea |
|
VISUAL
aHash
|
01e0f000002c7c7c |
|
VISUAL
dHash
|
2b820602c4ccc4c4 |
|
VISUAL
wHash
|
81e1f1e0607c7c7e |
|
VISUAL
colorHash
|
38030000600 |
|
VISUAL
cropResistant
|
2b820602c4ccc4c4 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.