Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F35176131643311DF8B3CE056893FE5DDAE6E00097060AA99D037E788DCAD730AA271E |
|
CONTENT
ssdeep
|
48:5OeBBCARWbwbSO0ocS/gDM/RoS2vH5ZpGDZ9QW1Ux:5OeBBceVC64ZZc9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a15e771c807e79a2 |
|
VISUAL
aHash
|
00e7e77f7f08e7e7 |
|
VISUAL
dHash
|
92cb4fe197b2cdcb |
|
VISUAL
wHash
|
0063672d7f0067ef |
|
VISUAL
colorHash
|
07018000600 |
|
VISUAL
cropResistant
|
92cb4fe197b2cdcb,9696968e8e8e9e96 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)