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1 Short Chosen-Prefix Collisions for MD5 and the Creation of a Rogue CA Certificate a Rogue CA Certificate
"... MD5 short overview MD5 Collision history 2004 – Identical-prefix collision attack [Wang,Yu] ..."
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MD5 short overview MD5 Collision history 2004 – Identical-prefix collision attack [Wang,Yu]
Short chosen-prefix collisions for MD5 and the creation of a rogue CA certificate.
- In Proc. of CRYPTO,
, 2009
"... Abstract. We present a refined chosen-prefix collision construction for MD5 that allowed creation of a rogue Certification Authority (CA) certificate, based on a collision with a regular end-user website certificate provided by a commercial CA. Compared to the previous construction from Eurocrypt 2 ..."
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Cited by 38 (7 self)
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Abstract. We present a refined chosen-prefix collision construction for MD5 that allowed creation of a rogue Certification Authority (CA) certificate, based on a collision with a regular end-user website certificate provided by a commercial CA. Compared to the previous construction from Eurocrypt
Chosen-prefix Collisions for MD5 and Applications
, 2009
"... We present a novel, automated way to find differential paths for MD5. As an application we have shown how, at an approximate expected cost of 2 39 calls to the MD5 compression function, for any two chosen message prefixes P and P ′ , suffixes S and S ′ can be constructed such that the concatenated ..."
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Cited by 4 (0 self)
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values P ‖S and P ′ ‖S ′ collide under MD5. The practical attack potential of this construction of chosen-prefix collisions is of greater concern than the MD5-collisions that were published before. This is illustrated by a pair of MD5-based X.509 certificates one of which was signed by a commercial
MD5 CHOSEN-PREFIX COLLISIONS ON GPUS BLACK HAT USA 2009
, 2009
"... In December 2008, an MD5 chosen-prefix collision attack was performed on a cluster of 215 PlayStation 3 consoles to create a rogue CA certificate. A new implementation of this attack has been researched and developped to run an order of magnitude faster and more efficiently on video card GPUs. This ..."
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In December 2008, an MD5 chosen-prefix collision attack was performed on a cluster of 215 PlayStation 3 consoles to create a rogue CA certificate. A new implementation of this attack has been researched and developped to run an order of magnitude faster and more efficiently on video card GPUs
Chosen prefix collisions for MD5 . . .
, 2012
"... We present a novel, automated way to find differential paths for MD5. Its main application is in the construction of chosen-prefix collisions. We have shown how, at an approximate expected cost of 239 calls to the MD5 compression function, for any two chosen message prefixes P and P', suffixes ..."
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We present a novel, automated way to find differential paths for MD5. Its main application is in the construction of chosen-prefix collisions. We have shown how, at an approximate expected cost of 239 calls to the MD5 compression function, for any two chosen message prefixes P and P
Towards Secure Electronic Workflows Examples of Applied PKI Supervisor:
, 2006
"... Hiermit versichere ich, die vorliegende Diplomarbeit selbstständig und unter ausschliesslicher Verwendung der angegebenen Quellen und Hilfsmittel angefertigt zu haben. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehörde vorgelegen. Darmstadt, 14. Februar 2006 ..."
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Hiermit versichere ich, die vorliegende Diplomarbeit selbstständig und unter ausschliesslicher Verwendung der angegebenen Quellen und Hilfsmittel angefertigt zu haben. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehörde vorgelegen. Darmstadt, 14. Februar 2006
doi:10.1093/comjnl/bxp026 A Digest and Pattern Matching-Based Intrusion Detection Engine
, 2008
"... Intrusion detection/prevention systems (IDSs/IPSs) heavily rely on signature databases and pattern matching (PM) techniques to identify network attacks. The engines of such systems often employ traditional PM algorithms to search for telltale patterns in network flows. The observations that real-wor ..."
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digests or fingerprints for attack signatures during its programming phase. In its querying phase, the framework quickly identifies attack-free connections by transforming input traffic into its fingerprint space and matching its digest against those of attack signatures. If the legitimacy of a stream