Security readout for executives and security teams
Plain-English summary
CVE-2017-16207 describes discordi.js, a malicious Node module imitating discord.js. The reported behavior is credential theft: it exfiltrates login tokens to Pastebin. Any organization that installed this module should treat affected credentials as compromised.
Executive priority
Prioritize as a credential-theft supply-chain issue if discordi.js appears anywhere in your environment. If absent, no action is indicated beyond routine dependency monitoring.
Technical view
The CVE identifies all versions of the discordi.js node module as malicious code under CWE-506. Sources state it is based on discord.js and exfiltrates login tokens to Pastebin. No CVSS score, fixed version, or vendor remediation detail is provided in the source bundle.
Likely exposure
Exposure is likely limited to Node.js projects that directly or transitively include discordi.js. Projects using the legitimate discord.js library are not shown as affected by these sources unless discordi.js is also present.
Exploitation context
The source bundle does not report active exploitation, and the CVE is not listed as KEV. However, the module itself is described as malicious, so installation is the key exposure event.
Researcher notes
Evidence is sparse but direct: all versions are affected, the weakness is embedded malicious code, and the behavior is token exfiltration. The source bundle does not provide exploit telemetry, package removal status, indicators beyond Pastebin, or a patched version.
Mitigation direction
- Remove discordi.js from affected projects and dependency manifests.
- Replace it only with verified legitimate dependencies, if functionality is still needed.
- Rotate any login tokens accessible to affected applications or build systems.
- Review the Node Security advisory and vendor guidance for any additional remediation.
- Rebuild and redeploy from trusted dependency sources.
Validation and detection
- Check package manifests and lockfiles for direct or transitive discordi.js references.
- Review deployed artifacts for bundled copies of the module.
- Identify credentials or login tokens accessible to affected runtimes.
- Review network logs for unexpected Pastebin-related outbound activity.
- Confirm token rotation and redeployment were completed.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-506: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCVE-2017-16207 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Unknown
- CVSS
- Not scored
- Known Exploited
- No
- Published
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
CVSS and timeline data
No CVSS vectors or timeline events were available in the normalized CVE source material.
Source materials
- CVE List V5 sourceCVE List V5
- https://nodesecurity.io/advisories/545CVE reference · x_refsource_MISC
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Embedded Malicious Code
Embedded Malicious Code represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.
