Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA31F7691929D2B04B2C7D0BAB6130FA3D3C294DA43960683FC834D6FDBEE6EC24155 |
|
CONTENT
ssdeep
|
1536:lzxaBcSbhtl+ELVW6evME866e289GnJckayzlgY/Nonv:tKKago8v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f00f2ff0e00f1ef0 |
|
VISUAL
aHash
|
01040c40ee4e80c0 |
|
VISUAL
dHash
|
6399b9929cbc3310 |
|
VISUAL
wHash
|
bf4c4c4eeecec0c0 |
|
VISUAL
colorHash
|
38002006000 |
|
VISUAL
cropResistant
|
6e78d0b0c292b2c6,8212084848100282,6399b9929cbc3310 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.