Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AF133E1C148DD37432285D6FBF56B5F7592C349CB02098853FC82AB9BDAC60CA52799 |
|
CONTENT
ssdeep
|
192:QKTqTg7mohOhHW1BjTdIMBTPAsVT8/zoIMITbqQR:QhQx+MpAGYJMKF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926d6539387d6c |
|
VISUAL
aHash
|
003c3c3c3c3c3c00 |
|
VISUAL
dHash
|
e8cce8f8e8e8e810 |
|
VISUAL
wHash
|
3c7e3c3e7c3c3c00 |
|
VISUAL
colorHash
|
02001000180 |
|
VISUAL
cropResistant
|
26b2e0b2c88c1386,e8cce8f8e8e8e810 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)