Monday, November 27
TOP STORY
AI. Machine Learning. Buzzword. Bingo…Or so we say now. A group of ASU researchers claims that they can predict which vulnerabilities will actually be used for breaches through their model. And if this sounds familiar, see @mroytman’s O’Reilly Security talk on predicting exploitability which we shared here a while back. Also, Dan Miessler believes we’ll see AI in security ops centers sooner rather than later. What do you believe?
HACKTIVITY
Privilege Escalation using API->Feature [16 upvotes] - $1,500 bounty for this report to Ubuquiti Networks by @hacknroll.
Server-side cache poisoning leads to the http://my.dev.owox.com inaccessibility [12 upvotes] - no bounty for this report to OWOX Inc by @sp1d3rs.
You can see all the latest and greatest disclosures and bounties on www.hackerone.com/hacktivity
TWEET OF THE DAY
This is a great RCE find. Also good example of why security is hard. This highlights third party packages, whitelist vs. blacklist, and trying to anticipate all possible use cases (not trivial) - @wh33lhouse
OTHER ARTICLES WE’RE READING
Troy Hunt told Imgur about a breach just before Thanksgiving - they mobilized and responded within 25 hours and 10 minutes. Read more in ZDNet.
The New Yorker investigates Berkeley’s future hunters
recon.sh: Never lose your recon data again. Track and organize in a git repo.
Wired loves Firefox Quantum
Scott Piper bids adieu to the weekly Downclimb. His insights will be missed.
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The standard for AI to become useful (and therefore prolific) within InfoSec is not being better than humans—it’s being able to do just about anything at all.
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