VulnerabilityPublished 9 Dec 2024Updated 11 Dec 2024

CVE-2024-53450: ragflow · Out-of-bounds Read

Affects ragflowSource CVE Database V5

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 09:08 UTC

CVSS 3.1 base score

7.5High

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.5% chance of exploitation in 30 days – higher than 45% 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

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: None
Scope: Unchanged
Confidentiality: High
Integrity: None
Availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 9 Dec 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
GitHubinfiniflow/ragflow`pkg:github/infiniflow/ragflow`Other threats	Affected =0.13.0	Fixed in–

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

AI-suggested

Until an official patch is released, organizations should implement strict network-level access controls to restrict access to RAGFlow instances only to trusted users and internal networks. Employing Web Application Firewalls (WAFs) with custom rules to detect and block suspicious requests targeting document access endpoints can help mitigate exploitation attempts. Conduct thorough audits of user permissions and logs to detect any unauthorized access attempts. If feasible, disable or isolate the document-hooks.ts functionality or related document access features temporarily to prevent exploitation. Employ encryption for stored documents and enforce strong authentication mechanisms on the application layer to reduce risk. Monitor security advisories from RAGFlow developers for patches or updates and apply them promptly once available. Additionally, consider implementing anomaly detection systems to identify unusual document access patterns. Regularly educate users and administrators about this vulnerability and the importance of reporting suspicious activity.

Description

RAGFlow 0.13.0 suffers from improper access control in document-hooks.ts, allowing unauthorized access to user documents.

Impact

The primary impact of CVE-2024-53450 is unauthorized disclosure of sensitive documents, compromising confidentiality. Organizations relying on RAGFlow 0.13.0 for document management or processing are at risk of data breaches, which can lead to loss of intellectual property, exposure of personal or confidential information, regulatory non-compliance, and reputational damage. Since the vulnerability does not affect integrity or availability, attackers cannot modify or disrupt documents but can read sensitive content without authorization. The ease of exploitation—requiring no privileges or user interaction and accessible remotely—makes this vulnerability particularly dangerous. This could facilitate espionage, insider threats, or data theft by external attackers. The absence of known exploits in the wild reduces immediate risk but does not diminish the potential for future attacks once exploit code becomes available. Organizations in sectors with high data sensitivity, such as finance, healthcare, legal, and government, face heightened risks.

CWE-125Out-of-bounds Read (opens in a new tab)
Base weaknessCWE Top 25 (2025): #8
The product reads data past the end, or before the beginning, of the intended buffer.
Implementation · Input Validation
Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
Architecture and Design · Language Selection
Use a language that provides appropriate memory abstractions.
OWASP Cheat Sheets
XML Security (opens in a new tab)
Mass Assignment (opens in a new tab)
OWASP ASVS 4.0.3
V13.3.1 (opens in a new tab)
V5.1.4 (opens in a new tab)
V5.1.3 (opens in a new tab)
Attack patterns
Overread Buffers (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 26 Feb 2026, 01:43 UTC

WeaknessesCWE-125

Technical details

References

Community reviews

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