Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1868182238818D2684FE041F07C74E2DCA36F21ADB202CED473D1D83D92EAE9C86719E5 |
|
CONTENT
ssdeep
|
96:OGJG2GeTPdw/Io2Wxct0o2qB79Xg7ikt8:OepTTPdwg2ct0mQ7iku |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab29d42b2bd6290f |
|
VISUAL
aHash
|
010301010103ffff |
|
VISUAL
dHash
|
fbd3f3cbebbbe002 |
|
VISUAL
wHash
|
0303030301dfffff |
|
VISUAL
colorHash
|
0b007000000 |
|
VISUAL
cropResistant
|
fbd3f3cbebbbe002,dcdac9a8eac6b642 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)