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VulnerabilityPublished Updated

CVE-2024-48141: CVEs · A Prompt Injection

Affects CVEsSource CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 36% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 24 Oct 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubsoursec/CVEspkg:github/soursec/CVEsOther threatsAffected
  • =2.17.0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2024-48141, organizations should immediately restrict access to the vulnerable Zhipu AI CodeGeeX v2.17.0 chatbox, especially in sensitive environments. Implement strict input validation and sanitization on all user-supplied messages to prevent injection of malicious prompt commands. Employ monitoring and anomaly detection to identify unusual chat patterns or data exfiltration attempts. Where possible, isolate the AI assistant within segmented network zones to limit exposure. Engage with Zhipu AI vendors for timely updates and patches addressing this vulnerability. Until official patches are available, consider disabling or limiting chat history features to reduce the volume of data at risk. Educate users about the risks of sharing sensitive information via AI chat interfaces. Finally, conduct regular security assessments and penetration testing focused on AI prompt injection vectors to proactively identify and remediate similar issues.

Description

A prompt injection vulnerability in the chatbox of Zhipu AI CodeGeeX v2.17.0 allows attackers to access and exfiltrate all previous and subsequent chat data between the user and the AI assistant via a crafted message.

References

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