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 Markus Jakobsson
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Profile of Markus Jakobsson

Chief Scientist, ZapFraud
Member Since: 3/24/2017
Author
News & Commentary Posts: 5
Comments: 3

Markus Jakobsson, chief scientist for ZapFraud, has worked for more than 20 years as a security researcher, scientist, and entrepreneur, studying phishing, crimeware, and mobile security at leading organizations. He leads ZapFraud's security research with a focus on using advanced data science to prevent email attacks.

In previous positions, Dr. Jakobsson spearheaded research in malware, authentication, fraud, user interfaces, and security technologies for Qualcomm, and led email security research as the Chief Scientist at Agari. He has co-founded several startups, spanning email fraud prevention, user authentication, mobile malware detection, and secure user messaging. Jakobsson has also held key roles as srincipal scientist at PayPal, Xerox PARC, and RSA Security.

Articles by Markus Jakobsson
posted in March 2017
Commentary
What the FedEx Logo Taught Me About Cybersecurity
Matt Shea, Head of Federal @ MixMode,  6/4/2021
Edge-DRsplash-10-edge-articles
A View From Inside a Deception
Sara Peters, Senior Editor at Dark Reading,  6/2/2021
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CVE-2021-34682
PUBLISHED: 2021-06-12
Receita Federal IRPF 2021 1.7 allows a man-in-the-middle attack against the update feature.
CVE-2021-31811
PUBLISHED: 2021-06-12
In Apache PDFBox, a carefully crafted PDF file can trigger an OutOfMemory-Exception while loading the file. This issue affects Apache PDFBox version 2.0.23 and prior 2.0.x versions.
CVE-2021-31812
PUBLISHED: 2021-06-12
In Apache PDFBox, a carefully crafted PDF file can trigger an infinite loop while loading the file. This issue affects Apache PDFBox version 2.0.23 and prior 2.0.x versions.
CVE-2021-32552
PUBLISHED: 2021-06-12
It was discovered that read_file() in apport/hookutils.py would follow symbolic links or open FIFOs. When this function is used by the openjdk-16 package apport hooks, it could expose private data to other local users.
CVE-2021-32553
PUBLISHED: 2021-06-12
It was discovered that read_file() in apport/hookutils.py would follow symbolic links or open FIFOs. When this function is used by the openjdk-17 package apport hooks, it could expose private data to other local users.