SlideShare a Scribd company logo
1 of 17
Analyzing the file hidden by the
 steganography tool and how
 the steganography detection
         tool detects it


                Group 6
 Ahmet Aydin - Arman Güngör - Laili Aidi
Background
 Steganography is hiding secret message into cover
  media, no one suspects from the presence of hidden
  message.

 Steganalysis is the art of revealing hidden message in
  a cover media.

 Keywords: Stego file, truck file (cover media)
Goal
 Figuring out the pattern of the bytes in the stego file.
 How steganalysis tool (Stegspy) identify the bytes
  appended to the cover media.

 Comparing steganography tools: Hiderman and Masker
Limitation of Study
 The analysis is only done with the text and JPEG
  files, not with audio or video file.

 There are parts of the stego files that cannot be
  analyzed yet, because the encryption that is used in the
  steganography process make these bytes complicated
  to be analyzed.
Steganography Type
 Robust steganography: involves embedding
  information into a file, cannot easily be destroyed.
   Fingerprinting
   Watermarking
 Fragile steganography: involves embedding information
  into cover media, destroyed if that media is modified.
Steganography Technique
 Binary File Techniques
 Plaintext Steganography Techniques
 Still imagery Steganography Techniques
 Audio and Video Steganography
 IP datagram steganography / Network Covert Channel /
  Network steganography
Steganalysis Technique
 Based on unusual pattern in the media or visual
  detection of the same.

 This can be done because the properties of electronic
  media are changed after it is used to hide any
  object, result degradation in terms of quality or unusual
  characteristics of the media.
Steganography Attacks
 Known carrier attack
 Steganography only attack
 Known message attack
 Known steganography attack
Tools
 Steganography tools:
   Hiderman version 3.0
   Masker version 7.5
 Steganalysis tool: Stegspy version 2.0
 Hex Editor: Hex Editor Neo 4.95
Hiderman Analysis




1.   The truckfile content, which is unencrypted
2.   10 bytes data with unknown function, which the value depends on the password.
3.   The length of the hidden file name, which is unencrypted.
4.   The name of the hidden file, which is encrypted.
5.   The hidden file content, which is presented using this algorithm: For every 4 bytes
     data, the first 2 bytes are unencrypted, and the last 2 bytes are encrypted
Hiderman Analysis ( contd. )




6.   8 bytes data, which is almost same for every file. If it is changed /
     removed, then Hiderman will not authenticate user to recover the
     stego file, even tough the given password is correct.
7.   Stream of unknown bytes, which the length is not same for each file.
8.   The last 3 bytes (Hex value 43 44 4e) are the Hiderman signature.
Masker Analysis
Masker Analysis
1. The truckfile content, which is unencrypted.
2. The length of the hidden file content, which is
    unencrypted, presented twice, followed by blank character
    (Hex value 20), with total length 13 bytes.
3. The hidden file content, which is encrypted. After the
    encrypted bytes of the file content, there is stream of 0
    character (Hex value 30) followed by 12 blank characters
    and 0 character followed by 12 blank characters again.
    This pattern possible shows the end of the file content.
4. Stream of unknown bytes, which is possible contain the
    password and encryption algorithm used for
    steganography process. The length of this part depends on
    the length of the password.
5. The last 77 bytes are the Masker signature.
Stegspy’s Steganalysis
 Hiderman:Detecting the last 3 bytes of the stego file as
  Hiderman’s signature

 Masker: Stegspy cannot identify the stego file.
   According to documentation, Stegspy claims it can
    identify Masker’s stego file!
   It is possible to detect Masker by looking at last 77 bytes
    of stego file. It is Masker’s fingerprint and always same
    for every file.
Comparison Hiderman vs
                  Masker
            Comparison                 Hiderman                                 Masker

Encryption algorithm     Predictable encryption algorithm.       Standard encryption algorithm:

                                                                 Blowfish, DES, Cast5, Serpent-256,
                                                                 Rijndael-256, TripleDES, TWOFISH

Staganography recovery   •Truck file and hidden file can be •Hidden file can be recovered
                         recovered.                             •Truck file cannot be recovered.
                         •Although sometimes some of the bytes
                         change in the truckfile after recovery
                         process.


Staganoganalysis         •Stegspy and Hiderman use last 3 bytes •Stegspy cannot identify the stego file.
                         of the stego file.                     •Masker can identify the stego file even
                                                                some part of the last 77 bytes signature
                                                                is missing or changed.
Conclusion
 Hiderman and Masker can be classified as robust
  steganography type and use Binary File
  steganography techniques.
 Hiderman and Masker use encryption, but
  Masker’s encryption is stronger than Hiderman’s
  : Hiderman’s result is predictable compared to
  Masker’s.
 Masker provides various encryption algorithms.
 Hiderman and Masker leave signature in the
  stego file and it can be detected.
 Stegspy can recognize Hiderman’s stego but not
  Masker’s, and it just searches for the signature of
Future Work
 It is possible to make deeper analysis in order to
  understand the steganography process of Hiderman
  and Masker.

 The research can be expanded by doing analysis of
  steganography process of the other tools in the audio
  and video media file.

 Analysis of the other steganography-steganalysis
  techniques and tools.

More Related Content

What's hot

SEMINAR ON staganography
SEMINAR ON staganographySEMINAR ON staganography
SEMINAR ON staganography
Kamonasish Hore
 

What's hot (20)

GraphQL Security
GraphQL SecurityGraphQL Security
GraphQL Security
 
Data hiding - Steganography
Data hiding - SteganographyData hiding - Steganography
Data hiding - Steganography
 
About Steganography
About SteganographyAbout Steganography
About Steganography
 
Using Wildcards with rsyslog's File Monitor imfile
Using Wildcards with rsyslog's File Monitor imfileUsing Wildcards with rsyslog's File Monitor imfile
Using Wildcards with rsyslog's File Monitor imfile
 
암호화 이것만 알면 된다.
암호화 이것만 알면 된다.암호화 이것만 알면 된다.
암호화 이것만 알면 된다.
 
Cryptography on cloud
Cryptography on cloudCryptography on cloud
Cryptography on cloud
 
Velociraptor - SANS Summit 2019
Velociraptor - SANS Summit 2019Velociraptor - SANS Summit 2019
Velociraptor - SANS Summit 2019
 
Project in malware analysis:C2C
Project in malware analysis:C2CProject in malware analysis:C2C
Project in malware analysis:C2C
 
Steganography(Presentation)
Steganography(Presentation)Steganography(Presentation)
Steganography(Presentation)
 
Red Hat Satellite 6 - Automation with Puppet
Red Hat Satellite 6 - Automation with PuppetRed Hat Satellite 6 - Automation with Puppet
Red Hat Satellite 6 - Automation with Puppet
 
Image steganography
Image steganographyImage steganography
Image steganography
 
Always On - Les solutions de haute disponibilité avec SQL Server 2012
Always On - Les solutions de haute disponibilité avec SQL Server 2012Always On - Les solutions de haute disponibilité avec SQL Server 2012
Always On - Les solutions de haute disponibilité avec SQL Server 2012
 
POA based Side-Chain Architecture
POA based Side-Chain ArchitecturePOA based Side-Chain Architecture
POA based Side-Chain Architecture
 
Intro To Bonner
Intro To BonnerIntro To Bonner
Intro To Bonner
 
Bash Script - How To Monitor Application Error Logs and Send Notification
Bash Script - How To Monitor Application Error Logs and Send NotificationBash Script - How To Monitor Application Error Logs and Send Notification
Bash Script - How To Monitor Application Error Logs and Send Notification
 
Gerenciamento de Redes com Zabbix
Gerenciamento de Redes com ZabbixGerenciamento de Redes com Zabbix
Gerenciamento de Redes com Zabbix
 
Steganography
SteganographySteganography
Steganography
 
Steganalysis of lsb matching steganography
Steganalysis of lsb matching steganographySteganalysis of lsb matching steganography
Steganalysis of lsb matching steganography
 
SEMINAR ON staganography
SEMINAR ON staganographySEMINAR ON staganography
SEMINAR ON staganography
 
Steganography
SteganographySteganography
Steganography
 

Viewers also liked

Steganography and Steganalysis
Steganography and Steganalysis Steganography and Steganalysis
Steganography and Steganalysis
zaidsalfawzan
 
Steganography
Steganography Steganography
Steganography
Uttam Jain
 
Introduction to random variables
Introduction to random variablesIntroduction to random variables
Introduction to random variables
Hadley Wickham
 

Viewers also liked (20)

PPT steganography
PPT steganographyPPT steganography
PPT steganography
 
Image Steganography
Image SteganographyImage Steganography
Image Steganography
 
Art of Steganography
Art of SteganographyArt of Steganography
Art of Steganography
 
Steganography and Steganalysis
Steganography and Steganalysis Steganography and Steganalysis
Steganography and Steganalysis
 
Steganalysis ppt
Steganalysis pptSteganalysis ppt
Steganalysis ppt
 
Cryptography & Steganography
Cryptography & SteganographyCryptography & Steganography
Cryptography & Steganography
 
Steganography
Steganography Steganography
Steganography
 
analysis on concealing information within non secret data
analysis on concealing information within non secret dataanalysis on concealing information within non secret data
analysis on concealing information within non secret data
 
File000133
File000133File000133
File000133
 
Steganography: Hiding information in past, present and future.
Steganography: Hiding information in past, present and future.Steganography: Hiding information in past, present and future.
Steganography: Hiding information in past, present and future.
 
Image stegnography and steganalysis
Image stegnography and steganalysisImage stegnography and steganalysis
Image stegnography and steganalysis
 
Probabilistic Methods Of Signal And System Analysis, 3rd Edition
Probabilistic Methods Of Signal And System Analysis, 3rd EditionProbabilistic Methods Of Signal And System Analysis, 3rd Edition
Probabilistic Methods Of Signal And System Analysis, 3rd Edition
 
Intorduction to information theory and applications copy
Intorduction to information theory and applications   copyIntorduction to information theory and applications   copy
Intorduction to information theory and applications copy
 
Video Steganography
Video SteganographyVideo Steganography
Video Steganography
 
Applications of Information Theory
Applications of Information TheoryApplications of Information Theory
Applications of Information Theory
 
Image Steganography using LSB
Image Steganography using LSBImage Steganography using LSB
Image Steganography using LSB
 
Information theory
Information theoryInformation theory
Information theory
 
Applications of random variable
Applications of random variableApplications of random variable
Applications of random variable
 
Introduction to random variables
Introduction to random variablesIntroduction to random variables
Introduction to random variables
 
Information Theory and Coding Notes - Akshansh
Information Theory and Coding Notes - AkshanshInformation Theory and Coding Notes - Akshansh
Information Theory and Coding Notes - Akshansh
 

Similar to Steganography Tool & Steganography Detection Tool - Presentation

final_Paper_springer_final
final_Paper_springer_finalfinal_Paper_springer_final
final_Paper_springer_final
Joseph Emmanuel
 
File Encryption and Hiding Application Based on AES and Append Insertion Steg...
File Encryption and Hiding Application Based on AES and Append Insertion Steg...File Encryption and Hiding Application Based on AES and Append Insertion Steg...
File Encryption and Hiding Application Based on AES and Append Insertion Steg...
TELKOMNIKA JOURNAL
 

Similar to Steganography Tool & Steganography Detection Tool - Presentation (20)

HACKING
HACKINGHACKING
HACKING
 
Steganography
SteganographySteganography
Steganography
 
Review of Role of Digital Video in Information Security
Review of Role of Digital Video in Information SecurityReview of Role of Digital Video in Information Security
Review of Role of Digital Video in Information Security
 
Highly Secure Cryptography Algorithm Method to Safeguard Audios and Visuals
Highly Secure Cryptography Algorithm Method to Safeguard Audios and VisualsHighly Secure Cryptography Algorithm Method to Safeguard Audios and Visuals
Highly Secure Cryptography Algorithm Method to Safeguard Audios and Visuals
 
HIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALS
HIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALSHIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALS
HIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALS
 
HIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALS
HIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALSHIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALS
HIGHLY SECURE CRYPTOGRAPHY ALGORITHM METHOD TO SAFEGUARD AUDIOS AND VISUALS
 
Steganography
SteganographySteganography
Steganography
 
Steganography.
Steganography.Steganography.
Steganography.
 
final_Paper_springer_final
final_Paper_springer_finalfinal_Paper_springer_final
final_Paper_springer_final
 
Secure Image Hiding Algorithm using Cryptography and Steganography
Secure Image Hiding Algorithm using Cryptography and SteganographySecure Image Hiding Algorithm using Cryptography and Steganography
Secure Image Hiding Algorithm using Cryptography and Steganography
 
A NUMERICAL METHOD BASED ENCRYPTION ALGORITHM WITH STEGANOGRAPHY
A NUMERICAL METHOD BASED ENCRYPTION ALGORITHM WITH STEGANOGRAPHYA NUMERICAL METHOD BASED ENCRYPTION ALGORITHM WITH STEGANOGRAPHY
A NUMERICAL METHOD BASED ENCRYPTION ALGORITHM WITH STEGANOGRAPHY
 
Enhancement of Data Hiding Capacity in Audio Steganography
Enhancement of Data Hiding Capacity in Audio SteganographyEnhancement of Data Hiding Capacity in Audio Steganography
Enhancement of Data Hiding Capacity in Audio Steganography
 
Stegnography synopsis
Stegnography synopsisStegnography synopsis
Stegnography synopsis
 
steganography
steganographysteganography
steganography
 
Steganography - Hiding in plain sight.pptx
Steganography - Hiding in plain sight.pptxSteganography - Hiding in plain sight.pptx
Steganography - Hiding in plain sight.pptx
 
Stegnography
Stegnography Stegnography
Stegnography
 
Multimedia
MultimediaMultimedia
Multimedia
 
Atm Security System Using Steganography Nss ptt by (rohit malav)
Atm Security System Using  Steganography Nss ptt by (rohit malav)Atm Security System Using  Steganography Nss ptt by (rohit malav)
Atm Security System Using Steganography Nss ptt by (rohit malav)
 
File Encryption and Hiding Application Based on AES and Append Insertion Steg...
File Encryption and Hiding Application Based on AES and Append Insertion Steg...File Encryption and Hiding Application Based on AES and Append Insertion Steg...
File Encryption and Hiding Application Based on AES and Append Insertion Steg...
 
A NOVEL APPROACHES TOWARDS STEGANOGRAPHY
A NOVEL APPROACHES TOWARDS STEGANOGRAPHYA NOVEL APPROACHES TOWARDS STEGANOGRAPHY
A NOVEL APPROACHES TOWARDS STEGANOGRAPHY
 

More from Laili Aidi

Mobile Music Business Models in Asia's Emerging Markets
Mobile Music Business Models in Asia's Emerging MarketsMobile Music Business Models in Asia's Emerging Markets
Mobile Music Business Models in Asia's Emerging Markets
Laili Aidi
 
Master Thesis Report: Business Models for Mobile Broadband Media Services – C...
Master Thesis Report: Business Models for Mobile Broadband Media Services – C...Master Thesis Report: Business Models for Mobile Broadband Media Services – C...
Master Thesis Report: Business Models for Mobile Broadband Media Services – C...
Laili Aidi
 
Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...
Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...
Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...
Laili Aidi
 

More from Laili Aidi (20)

Mobile Music Business Models in Asia's Emerging Markets
Mobile Music Business Models in Asia's Emerging MarketsMobile Music Business Models in Asia's Emerging Markets
Mobile Music Business Models in Asia's Emerging Markets
 
Stream Control Transmission Protocol (SCTP) - Introduction
Stream Control Transmission Protocol (SCTP) - IntroductionStream Control Transmission Protocol (SCTP) - Introduction
Stream Control Transmission Protocol (SCTP) - Introduction
 
Internet of Things
Internet of ThingsInternet of Things
Internet of Things
 
Study Abroad in the Land of Nobel
Study Abroad in the Land of NobelStudy Abroad in the Land of Nobel
Study Abroad in the Land of Nobel
 
Go International: Challenges and Opportunities
Go International: Challenges and OpportunitiesGo International: Challenges and Opportunities
Go International: Challenges and Opportunities
 
Master Thesis Report: Business Models for Mobile Broadband Media Services – C...
Master Thesis Report: Business Models for Mobile Broadband Media Services – C...Master Thesis Report: Business Models for Mobile Broadband Media Services – C...
Master Thesis Report: Business Models for Mobile Broadband Media Services – C...
 
Paper - Competing or Aligning? Assessment for Telecom Operator's strategy to ...
Paper - Competing or Aligning? Assessment for Telecom Operator's strategy to ...Paper - Competing or Aligning? Assessment for Telecom Operator's strategy to ...
Paper - Competing or Aligning? Assessment for Telecom Operator's strategy to ...
 
Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...
Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...
Master Thesis Presentation: Business Models for Mobile Broadband Media Servic...
 
Abstract - Competing or Aligning? Assessment for Telecom Operator's strategy ...
Abstract - Competing or Aligning? Assessment for Telecom Operator's strategy ...Abstract - Competing or Aligning? Assessment for Telecom Operator's strategy ...
Abstract - Competing or Aligning? Assessment for Telecom Operator's strategy ...
 
Music Service Monetization 2.0
Music Service Monetization 2.0Music Service Monetization 2.0
Music Service Monetization 2.0
 
Master Thesis Proposal Presentation: Business Models for Mobile-broadband Med...
Master Thesis Proposal Presentation: Business Models for Mobile-broadband Med...Master Thesis Proposal Presentation: Business Models for Mobile-broadband Med...
Master Thesis Proposal Presentation: Business Models for Mobile-broadband Med...
 
Master Thesis Proposal: Business Models for Mobile-broadband Media Services –...
Master Thesis Proposal: Business Models for Mobile-broadband Media Services –...Master Thesis Proposal: Business Models for Mobile-broadband Media Services –...
Master Thesis Proposal: Business Models for Mobile-broadband Media Services –...
 
Delay Tolerant Network - Presentation
Delay Tolerant Network - PresentationDelay Tolerant Network - Presentation
Delay Tolerant Network - Presentation
 
Delay Tolerant Network - Journal
Delay Tolerant Network - JournalDelay Tolerant Network - Journal
Delay Tolerant Network - Journal
 
Dimensioning and Cost Structure Analysis of Wide Area Data Service Network - ...
Dimensioning and Cost Structure Analysis of Wide Area Data Service Network - ...Dimensioning and Cost Structure Analysis of Wide Area Data Service Network - ...
Dimensioning and Cost Structure Analysis of Wide Area Data Service Network - ...
 
Analysis of WiMAX regulation in South Korea and Indonesia - Presentation
Analysis of WiMAX regulation in South Korea and Indonesia - PresentationAnalysis of WiMAX regulation in South Korea and Indonesia - Presentation
Analysis of WiMAX regulation in South Korea and Indonesia - Presentation
 
SNMP Project: SNMP-based Network Anomaly Detection Using Clustering
SNMP Project: SNMP-based Network Anomaly Detection Using ClusteringSNMP Project: SNMP-based Network Anomaly Detection Using Clustering
SNMP Project: SNMP-based Network Anomaly Detection Using Clustering
 
Sweden’s Telecom Markets, Actors & Roles - Presentation
Sweden’s Telecom Markets, Actors & Roles - PresentationSweden’s Telecom Markets, Actors & Roles - Presentation
Sweden’s Telecom Markets, Actors & Roles - Presentation
 
Condroid KTH Summer CSD 2011 - Final Report
Condroid KTH Summer CSD 2011 - Final ReportCondroid KTH Summer CSD 2011 - Final Report
Condroid KTH Summer CSD 2011 - Final Report
 
Condroid KTH Summer CSD 2011 - Lesson Learned and Individual Contribution List
Condroid KTH Summer CSD 2011 - Lesson Learned and Individual Contribution ListCondroid KTH Summer CSD 2011 - Lesson Learned and Individual Contribution List
Condroid KTH Summer CSD 2011 - Lesson Learned and Individual Contribution List
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 

Steganography Tool & Steganography Detection Tool - Presentation

  • 1. Analyzing the file hidden by the steganography tool and how the steganography detection tool detects it Group 6 Ahmet Aydin - Arman Güngör - Laili Aidi
  • 2. Background  Steganography is hiding secret message into cover media, no one suspects from the presence of hidden message.  Steganalysis is the art of revealing hidden message in a cover media.  Keywords: Stego file, truck file (cover media)
  • 3. Goal  Figuring out the pattern of the bytes in the stego file.  How steganalysis tool (Stegspy) identify the bytes appended to the cover media.  Comparing steganography tools: Hiderman and Masker
  • 4. Limitation of Study  The analysis is only done with the text and JPEG files, not with audio or video file.  There are parts of the stego files that cannot be analyzed yet, because the encryption that is used in the steganography process make these bytes complicated to be analyzed.
  • 5. Steganography Type  Robust steganography: involves embedding information into a file, cannot easily be destroyed.  Fingerprinting  Watermarking  Fragile steganography: involves embedding information into cover media, destroyed if that media is modified.
  • 6. Steganography Technique  Binary File Techniques  Plaintext Steganography Techniques  Still imagery Steganography Techniques  Audio and Video Steganography  IP datagram steganography / Network Covert Channel / Network steganography
  • 7. Steganalysis Technique  Based on unusual pattern in the media or visual detection of the same.  This can be done because the properties of electronic media are changed after it is used to hide any object, result degradation in terms of quality or unusual characteristics of the media.
  • 8. Steganography Attacks  Known carrier attack  Steganography only attack  Known message attack  Known steganography attack
  • 9. Tools  Steganography tools:  Hiderman version 3.0  Masker version 7.5  Steganalysis tool: Stegspy version 2.0  Hex Editor: Hex Editor Neo 4.95
  • 10. Hiderman Analysis 1. The truckfile content, which is unencrypted 2. 10 bytes data with unknown function, which the value depends on the password. 3. The length of the hidden file name, which is unencrypted. 4. The name of the hidden file, which is encrypted. 5. The hidden file content, which is presented using this algorithm: For every 4 bytes data, the first 2 bytes are unencrypted, and the last 2 bytes are encrypted
  • 11. Hiderman Analysis ( contd. ) 6. 8 bytes data, which is almost same for every file. If it is changed / removed, then Hiderman will not authenticate user to recover the stego file, even tough the given password is correct. 7. Stream of unknown bytes, which the length is not same for each file. 8. The last 3 bytes (Hex value 43 44 4e) are the Hiderman signature.
  • 13. Masker Analysis 1. The truckfile content, which is unencrypted. 2. The length of the hidden file content, which is unencrypted, presented twice, followed by blank character (Hex value 20), with total length 13 bytes. 3. The hidden file content, which is encrypted. After the encrypted bytes of the file content, there is stream of 0 character (Hex value 30) followed by 12 blank characters and 0 character followed by 12 blank characters again. This pattern possible shows the end of the file content. 4. Stream of unknown bytes, which is possible contain the password and encryption algorithm used for steganography process. The length of this part depends on the length of the password. 5. The last 77 bytes are the Masker signature.
  • 14. Stegspy’s Steganalysis  Hiderman:Detecting the last 3 bytes of the stego file as Hiderman’s signature  Masker: Stegspy cannot identify the stego file.  According to documentation, Stegspy claims it can identify Masker’s stego file!  It is possible to detect Masker by looking at last 77 bytes of stego file. It is Masker’s fingerprint and always same for every file.
  • 15. Comparison Hiderman vs Masker Comparison Hiderman Masker Encryption algorithm Predictable encryption algorithm. Standard encryption algorithm: Blowfish, DES, Cast5, Serpent-256, Rijndael-256, TripleDES, TWOFISH Staganography recovery •Truck file and hidden file can be •Hidden file can be recovered recovered. •Truck file cannot be recovered. •Although sometimes some of the bytes change in the truckfile after recovery process. Staganoganalysis •Stegspy and Hiderman use last 3 bytes •Stegspy cannot identify the stego file. of the stego file. •Masker can identify the stego file even some part of the last 77 bytes signature is missing or changed.
  • 16. Conclusion  Hiderman and Masker can be classified as robust steganography type and use Binary File steganography techniques.  Hiderman and Masker use encryption, but Masker’s encryption is stronger than Hiderman’s : Hiderman’s result is predictable compared to Masker’s.  Masker provides various encryption algorithms.  Hiderman and Masker leave signature in the stego file and it can be detected.  Stegspy can recognize Hiderman’s stego but not Masker’s, and it just searches for the signature of
  • 17. Future Work  It is possible to make deeper analysis in order to understand the steganography process of Hiderman and Masker.  The research can be expanded by doing analysis of steganography process of the other tools in the audio and video media file.  Analysis of the other steganography-steganalysis techniques and tools.