Advanced malware is dynamic, elusive, and evasive. Once it slithers into the organization’s extended network, it can very quickly proliferate, cause problems, and remain undetected by traditional point-in-time security tools. These tools poll or scan endpoints for malware or indicators of compromise at a moment in time, and then do not evaluate again until the next big scan is triggered.
To prevent a malware intrusion from becoming a full-fledged and costly breach, it is important to catch that malware as quickly as possible. To do that, you need to go beyond point-in-time tools, and instead continuously watch and analyze all file and program activity throughout your extended network, so that at the first glimpse of malicious behavior you can contain and remediate immediately.
A few months ago we discussed the various ways that consumer PII is compromised. The recent attacks against Target and Neiman Marcus illustrate the constant threat that payment card accepting retailers of all sizes face. Yesterday Reuters reported that similar breaches over the holidays affected “at least three other well-known U.S. retailers”. Given the current onslaught, it’s a good time for retailers to examine their detection capabilities before a payment card data attack, while creating new goals for shortening remediation windows during and after an attack.
This month has been particularly prevalent for the loss of personal information. At the beginning of the month it was reported that Club Nintendo had been breached with the personal data of up to 4 million stolen by attackers . Subsequently, the forums of Ubuntu were hacked with the loss of 1.82 million usernames, passwords and email addresses . Additionally, Apple have announced that their developer website has had an unknown amount of personal data stolen . Read More »
LinkedIn is believed to have suffered a password hash breach (updated:LinkedIn has confirmed the breach), thanks to a forum post that quickly caught the attention of security researchers on Twitter and other social outlets. The posted archive contained a 270+ MB text file of SHA-1 hashes, and forum discussions suggested that it was related to the popular business-centric social site.
At the moment, little is known and speculation is running wild. LinkedIn has not finished investigating whether they have been breached, however many security pros are confirming for the media that the SHA-1 hashes of their passwords are found in the file. The file is constructed in a hash-per-line fashion, with no evident plaintext that suggests it is anything other than passwords (such as usernames, etc.). However, it’s possible that anyone gaining the original access to hashes had or has access to additional details.
I obtained a copy of the hash list, produced a SHA-1 hash of my old LinkedIn password, and did indeed find it in the list. I have also spot-checked several other hashes posted by security pros on Twitter, and have found them as well. Given the nature of my own password (16 random characters comprised of A-Z, a-z, and 0-9) the likelihood that my SHA-1 hash of my password (that was unique to LinkedIn) would be present in a file that did NOT come (at least in part) from a source that had access to hashes of LinkedIn passwords is statistically impossible.