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Gartner® Named RL a Software Supply Chain Security Visionary. Here’s What We See Coming

The first Magic Quadrant™ for Software Supply Chain Security comes as, we feel, the demand for greater supply chain visibility explodes.

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Threat ResearchJuly 27, 2018

Detecting Certificate-Signed Malware

Join ReversingLabs Research on a Threat Hunt for revoked D-Link certificates

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Hunting plead malware

Background:

On July 9th 2018 ESET published a blog indicating strains of Plead malware are misusing D-Link certificates.

https://www.welivesecurity.com/2018/07/09/certificates-stolen-taiwanese-tech-companies-plead-malware-campaign/

Since then, D-Link has revoked those compromised certs.

https://securityadvisories.dlink.com/announcement/publication.aspx?name=SAP10089

Hashes mentioned in the blog are not available on VTI or public space. ESET has marked them as private. ReversingLabs Research obtained 2/4 hashes.

Use case:

Demonstrate search capabilities in hunting for malicious samples that are using valid or revoked certificates.

cert chain: https://docs.microsoft.com/en-us/windows/desktop/SecCrypto/certificate-chains

RL Research

On July 3, 2018, D-Link, a well-known multinational networking equipment manufacturer headquartered in Taipei, notified customers that the company had revoked two of its code-signing certificates that were misused by unknown attackers to sign malicious code. The incident was first brought to D-Link’s attention by ESET researchers who detected that Plead malware samples were using those certificates to avoid detection by anti-virus (AV) vendors.

The technique of signing code with certificates from reputable companies is not new. In recent years this approach has been successfully used by Stuxnet (which used stolen digital certificates from Realtek and JMicron), Piriform Ccleaner, and others. Spotting certificate misuse in a timely manner is crucial for preventing further damage and protecting customer data.

Threat hunting scenarios for certificate misuse include using information such as certificate thumbprint, Issuer of the certificate, certificate authority, name of the organization to whom the certificate has been issued, or serial number of the file certificate.

Join ReversingLabs Research (RL Research) on a Threat Hunt for revoked D-Link certificates. Let’s begin.

Step 1 - Pivoting on revoked D-Link certificates:

https://securityadvisories.dlink.com/announcement/publication.aspx?name=SAP10089

cert-serial:[130303E4570C272909E265DDB859DEEF, 01a586a95b44609e9fae25f9277962d6]

A1000 analysis of samples

The above results show two malicious samples (highlighted in red). Both have a story to tell.

A.) Sample 1db4650a89bc7c810953160c6e41a36547e8cf0b:

The first sample is a file signed with a D-Link certificate (cert-serial:130303E4570C272909E265DDB859DEEF) and classified as malicious by multiple AV engines. This certificate was previously used for signing legitimate D-Link programs, so this malicious sample proves that the certificate was stolen.

A1000 extracted indicators from the sample

Utilizing the ReversingLabs A1000 Malware Analysis platform to speed up the process, we extracted indicators from the sample. All the indicators agree with AV engines exposing Trojan and credential-stealing capabilities. In this case, the malware is looking for browser and email client credentials.

  • EVASION - Tries to elude common debuggers/sandboxes/analysis tools
    • Detects SunBelt sandbox-related virtualized environments.
    • Uses anti-debugging methods.
  • THEFT TARGETS - Steals and leaks sensitive information by accessing:
    • Firefox stored credentials databases.
    • Internet Explorer stored credentials databases.
    • Common software account information
    • Outlook account information.
    • Outlook preferences.
sample analysis from A1000

B.) Sample 32bec4e3016d393c596eee72e6a4284a9f2e49ab:

The second sample is a file seemingly signed with a D-Link certificate (cert-serial:01A586A95B44609E9FAE25F9277962D6). In this case, AV engines deliver a verdict of "virus" (NOT "trojan").

One notable aspect of this example was ReversingLabs’ ability to detect an existing D-Link certificate. Other tools and metadata providers (such as Signtool, Sigcheck and VirusTotal) showed no existing certificates. Those tools miss because virus injection disrupts the certificate chain. The advanced static analysis engine in the ReversingLabs A1000 platform was able to detect a “cert-malformed” and assign a tag to the sample. The certificate information is searchable and enables detection of virus-infected, legitimately signed files.

A1000 certificate trust chain

Step 2. - Alerting on missing hashes

ESET published this post at https://www.welivesecurity.com/2018/07/09/certificates-stolen-taiwanese-tech-companies-plead-malware-campaign/

In this post, the hashes for malware using D-Link's stolen certificates were made available to the public. Although the hashes are public, the samples themselves are not (at the time of this writing). RL Research recommends that security teams set notifications when target samples become available for download. ReversingLabs customers can reach out to their support managers to learn how to set up tracking and alerting on target hashes in the product.

A1000 edit subscription

Example: Slack Alert on newly available hash

A1000 sample available for download notification

Step 3. - Hunt for certificate misuse

With literally thousands of malicious files taking advantage of valid certificates, there are countless hunting scenarios. For example, hunters can start with an initial search by malware family name, and a specific condition - that executables must be signed with a valid (unexpired) certificate.

A1000 search functionality

Using detailed sample information (above) and drilling down on one of the results shows that malware authors used a valid certificate belonging to Shenzhen Chuang Hui Network Technology Co.

A1000 certificate trust chain

Hunters can then search through the history of all files that have been signed with that specific certificate (code signing certificate cert-serial: 6B95BA404F098ECAB24B240AFE711C0B). Doing so readily reveals the timeline of when the compromise occurred and provides a fast way to double-check if there are any false negatives that should be examined.

A1000 certificate search results

Step 4 - Alerting on certificate misuse

ReversingLabs’ customers typically set automatic alerting on certificate misuse. Other advanced automated reverse engineering/static analysis technologies also support alerting when certificate misuse is detected. The RL Research team strongly recommends that companies take advantage of these alerting capabilities. As the RL Research team uncovers new intelligence or develops new processes, we will share them.

If you’d like to learn more about the malware analysis and hunting the RL Research team uses in our work, a good place to start is checking the ReversingLabs A1000.

Watch for more threat intelligence and hunting blogs from us in the near future, and if you’re planning on attending Black Hat show, please stop by. We’ll be in Booth #1613.

RL Research

Keep learning

  • Learn how Gartner® named RL a supply chain security 'visionary.' Download: Gartner® Magic Quadrant™ for Software Supply Chain Security.
  • Get key insights into why Gartner® identified binary analysis a must-have control in its recent CISO Playbook for Commercial Software Supply Chain Security.
  • Get up to speed on the Agentic Development Security tools landscape in this webinar with Forrester Sr. Analyst Janet Worthington.
  • Take a deep dive on the state of software security with RL's Software Supply Chain Security Report 2026. Plus: See the the webinar discussing the findings.

Explore RL's Spectra suite: Spectra Assure for software supply chain security, Spectra Detect for scalable file analysis, Spectra Analyze for malware analysis and threat hunting, and Spectra Intelligence for reputation data and intelligence.

Plus: Join the free Spectra Assure Community today to get hands-on with RL's binary analysis-based software supply chain security platform.

Tags:Threat Research

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