Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B593A923421975274437C2C1346A5B3BD1A6999FFAE70A400EECCBFB6BF9CA0741B519 |
|
CONTENT
ssdeep
|
768:QeFJotpR4nXF6YjOpSpFlTC6rr7K12XNn/Sssp0SrFcu:QeF+tpR4nXBKpSpFl26vJXJ/SsSrCu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c26137bbc164c6cd |
|
VISUAL
aHash
|
00087071fff52138 |
|
VISUAL
dHash
|
9819e7c3d3ed4240 |
|
VISUAL
wHash
|
00087071fff53f3c |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
9819e7c3d3ed4240 |
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.