Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA3DD23421975274537C2C034BA5B3BD1A6D99FFAE609001EEC87FA2BF9CA0B41B55D |
|
CONTENT
ssdeep
|
768:Gp82LtpR4nXF6YjOpSpFlTC6rrWDHgjMJt77sbc3Vy4zE:Gp8YtpR4nXBKpSpFl26vkggb77DQ4zE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d2993136c7f |
|
VISUAL
aHash
|
00010e2e0e0500ff |
|
VISUAL
dHash
|
dcb77cdcdcbd2700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
01003400400 |
|
VISUAL
cropResistant
|
bd777cdcdcb73700,dcbf7ddcdcdca77f,955353c5ba363596,4e8f9149434e4a5a,ec110d3332095321 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.