Skip to content

Qwen3 Coder 480B Turbo (Venice) on Reverse engineer a security patch for an exploited CVE

QQwen3 Coder 480B Turbo (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first trySuperseded
Cost
$0.0015
Wall time
9s
Human step-ins
0
Outcome
Pass

Compare with other models on this task →

Superseded. This run was rescored on 2026-10-28 and replaced by a newer run. It no longer counts toward rankings, use-case tables or the data export; it is kept here for the record.
Rescored on 2026-10-19. Previous score: 62.9 / 100, outcome: partial. See the previous run.

Summary

Exact prompt

patch.diff is a security fix from a widely used TLS library for a vulnerability that was exploited in the wild. Analyze only the diff (no web). Write ANALYSIS.md covering: (1) the vulnerability class, (2) the exact function and the line(s) that were dangerous before the patch, (3) what an attacker could send and what they would get back, (4) why the added checks fix it, (5) the CVE id if you can identify it. Do not write exploit code.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): patch.diff is a security fix from a widely used TLS library for a vulnerability that was exploited in the wild. Analyze only the diff (no web). Write ANALYSIS.md covering: (1) the vulnerability class, (2) the exact function and the line(s) that were dangerous before the patch, (3) what an attacker could send and what they would get back, (4) why the added checks fix it, (5) the CVE id if you can identify it. Do not write exploit code. Inspired by https://x.com/KevTheHermit/status/2094160406935638494 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost is real Venice spend (paid from DIEM credit), as reported by Venice.

Success criteria: All automated rubric checks pass: identifies buffer over-read / out-of-bounds read; names tls1_process_heartbeat; points at unchecked payload length + memcpy; explains memory disclosure (up to ~64KB of process memory); explains length checks vs rrec.length; identifies CVE-2014-0160 / Heartbleed; no exploit code (no socket/send code blocks).

Setup notes: Harness: venice-mini-agent v1.2 via Venice OpenAI-compatible API. Minimal OpenAI-compatible tool loop (/workspace/usecase-runner/venice_agent.py): tools list_files/read_file/write_file/run_shell in the work dir, max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, $0.08 per-run cost cap. Identical for all Venice models. Cost source: Venice /api/v1/models model_spec.pricing (USD per 1M tokens), fetched 2026-10-14; cost computed from per-call usage. Paid from Bob's DIEM daily allowance. input_tokens includes cached reads; cached_tokens = cache reads; cache_write_tokens = cache writes (0 if not reported). Single run, no retries; scored automatically (7/7 checks). Runner notes: Single run, no retries. Same rubric/score.py as Claude runs. Web disabled. Rescored 2026-10-17 after Scout's audit (usecase-scout/AUDIT-batches1-5-2026-10-17.md), against unchanged output. The original score was 6/7.

Metrics

Cost
$0.0015
Wall time
9s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
QQwen3 Coder 480B Turbo (Venice)venice/qwen3-coder-480b-a35b-instruct-turbo3,290812$0.0015

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Qwen3 Coder 480B Turbo (Venice) (venice/qwen3-coder-480b-a35b-instruct-turbo) via venice-mini-agent v1.2, cloud.
  3. It counts as a success only if it meets every success criterion: All automated rubric checks pass: identifies buffer over-read / out-of-bounds read; names tls1_process_heartbeat; points at unchecked payload length + memcpy; explains memory disclosure (up to ~64KB of process memory); explains length checks vs rrec.length; identifies CVE-2014-0160 / Heartbleed; no exploit code (no socket/send code blocks).
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

Was this useful?

⇄ Rerun on another model

Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
{"turn": 1, "response": {"service_tier": "default", "id": "chatcmpl-R1zw0ckNoH8UmunmCau2mHcj", "object": "chat.completion", "created": 1792023126, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I'll analyze the patch.diff file to understand the security vulnerability and create an ANALYSIS.md document.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_816d42d6f8406437", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"patch.diff\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 617, "completion_tokens": 42, "total_tokens": 659, "prompt_tokens_details": {"cached_tokens": 480}, "cache_read_input_tokens": 480}, "cost": {"usd": 0, "diem": 0.00013015}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 1, "tool": "read_file", "args": {"path": "patch.diff"}, "result": "--- a/ssl/t1_lib.c\n+++ b/ssl/t1_lib.c\n@@ int tls1_process_heartbeat(SSL *s)\n \tunsigned char *p = &s->s3->rrec.data[0], *pl;\n \tunsigned short hbtype;\n \tunsigned int payload;\n \tunsigned int padding = 16; /* Use minimum padding */\n \n-\t/* Read type and payload length first */\n-\thbtype = *p++;\n-\tn2s(p, payload);\n-\tpl = p;\n-\n \tif (s->msg_callback)\n \t\ts->msg_callback(0, s->version, TLS1_RT_HEARTBEAT,\n \t\t\t&s->s3->rrec.data[0], s->s3->rrec.length,\n \t\t\ts, s->msg_callback_arg);\n \n+\t/* Read type and payload length first */\n+\tif (1 + 2 + 16 > s->s3->rrec.length)\n+\t\treturn 0; /* silently discard */\n+\thbtype = *p++;\n+\tn2s(p, payload);\n+\tif (1 + 2 + payload + 16 > s->s3->rrec.length)\n+\t\treturn 0; /* silently discard per RFC 6520 sec. 4 */\n+\tpl = p;\n+\n \tif (hbtype == TLS1_HB_REQUEST)\n \t\t{\n \t\tunsigned char *buffer, *bp;\n \t\tint r;\n@@\n \t\tbp = buffer;\n \t\t\n \t\t/* Enter response type, length and copy payload */\n \t\t*bp++ = TLS1_HB_RESPONSE;\n \t\ts2n(payload, bp);\n \t\tmemcpy(bp, pl, payload);\n"}
{"turn": 2, "response": {"service_tier": "default", "id": "chatcmpl-RxM0WIJhz438nsayBin79h5M", "object": "chat.completion", "created": 1792023127, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Based on my analysis of the patch.diff file, I'll create an ANALYSIS.md document covering the requested aspects of this security vulnerability.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_6534c7d35ae4c9aa", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"ANALYSIS.md\", \"content\": \"# Heartbleed Vulnerability Analysis\\n\\n## 1. Vulnerability Class\\nThis is a buffer over-read vulnerability, specifically known as the Heartbleed bug (CVE-2014-0160). It's a critical security flaw in the OpenSSL implementation of the TLS/SSL protocol that allows attackers to read memory from a server or client that they should not have access to.\\n\\n## 2. Dangerous Function and Lines\\nThe vulnerable function is `tls1_process_heartbeat()` in `ssl/t1_lib.c`. The specific dangerous lines were:\\n\\n```c\\nhbtype = *p++;\\nn2s(p, payload);\\npl = p;\\n```\\n\\nThese lines read the heartbeat type and payload length directly from user input without proper bounds checking, then used these values to determine how much data to copy in the response.\\n\\n## 3. Attack Vector\\nAn attacker could send a malicious heartbeat request with a\\u865a\\u5047\\u7684 payload length field that claims to be larger than the actual data sent. For example, they could send only 10 bytes but claim the payload length is 65KB. \\n\\nThe server would then read this length value without verification and attempt to copy that many bytes from its memory space into the heartbeat response. Since the server would only have actually received 10 bytes but was told there were 65KB, it would end up copying an additional ~65KB of whatever happened to be adjacent in memory - potentially including sensitive information like private keys, passwords, or session tokens.\\n\\nThe attacker would receive this memory dump back in the heartbeat response, allowing them to extract sensitive data from the server's memory.\\n\\n## 4. Security Fix Explanation\\nThe patch adds two critical validation checks:\\n\\n1. First check: `if (1 + 2 + 16 > s->s3->rrec.length)` verifies that there are enough bytes in the received record to contain at least the heartbeat type (1 byte), payload length (2 bytes), and minimum padding (16 bytes).\\n\\n2. Second check: `if (1 + 2 + payload + 16 > s->s3->rrec.length)` validates that the claimed payload length plus the other required fields doesn't exceed the total length of the received record.\\n\\nOnly after these bounds checks pass successfully does the code proceed to read the heartbeat type and payload length, and subsequently process the request. These checks ensure that an attacker cannot specify a payload length larger than what was actually received, preventing the buffer over-read.\\n\\n## 5. CVE ID\\nThis vulnerability is identified as CVE-2014-0160, commonly known as \\\"Heartbleed\\\".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1025, "completion_tokens": 601, "total_tokens": 1626, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640}, "cost": {"usd": 0, "diem": 0.0010618499999999998}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 2, "tool": "write_file", "args": {"path": "ANALYSIS.md", "content": "# Heartbleed Vulnerability Analysis\n\n## 1. Vulnerability Class\nThis is a buffer over-read vulnerability, specifically known as the Heartbleed bug (CVE-2014-0160). It's a critical security flaw in the OpenSSL implementation of the TLS/SSL protocol that allows attackers to read memory from a server or client that they should not have access to.\n\n## 2. Dangerous Function and Lines\nThe vulnerable function is `tls1_process_heartbeat()` in `ssl/t1_lib.c`. The specific dangerous lines were:\n\n```c\nhbtype = *p++;\nn2s(p, payload);\npl = p;\n```\n\nThese lines read the heartbeat type and payload length directly from user input without proper bounds checking, then used these values to determine how much data to copy in the response.\n\n## 3. Attack Vector\nAn attacker could send a malicious heartbeat request with a\u865a\u5047\u7684 payload length field that claims to be larger than the actual data sent. For example, they could send only 10 bytes but claim the payload length is 65KB. \n\nThe server would then read this length value without verification and attempt to copy that many bytes from its memory space into the heartbeat response. Since the server would only have actually received 10 bytes but was told there were 65KB, it would end up copying an additional ~65KB of whatever happened to be adjacent in memory - potentially including sensitive information like private keys, passwords, or session tokens.\n\nThe attacker would receive this memory dump back in the heartbeat response, allowing them to extract sensitive data from the server's memory.\n\n## 4. Security Fix Explanation\nThe patch adds two critical validation checks:\n\n1. First check: `if (1 + 2 + 16 > s->s3->rrec.length)` verifies that there are enough bytes in the received record to contain at least the heartbeat type (1 byte), payload length (2 bytes), and minimum padding (16 bytes).\n\n2. Second check: `if (1 + 2 + payload + 16 > s->s3->rrec.length)` validates that the claimed payload length plus the other required fields doesn't exceed the total length of the received record.\n\nOnly after these bounds checks pass successfully does the code proceed to read the heartbeat type and payload length, and subsequently process the request. These checks ensure that an attacker cannot specify a payload length larger than what was actually received, preventing the buffer over-read.\n\n## 5. CVE ID\nThis vulnerability is identified as CVE-2014-0160, commonly known as \"Heartbleed\"."}, "result": "wrote 2431 chars"}
{"turn": 3, "response": {"service_tier": "default", "id": "chatcmpl-RV8LG1LC4JllY1IgrX3NlY2q", "object": "chat.completion", "created": 1792023134, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I've analyzed the provided patch.diff file and created an ANALYSIS.md document covering the Heartbleed vulnerability (CVE-2014-0160). The analysis includes:\n\n1. The vulnerability class - buffer over-read / Heartbleed\n2. The exact function and dangerous lines in the tls1_process_heartbeat() function\n3. What an attacker could send (malicious heartbeat with false payload length) and what they would get back (memory contents from the server)\n4. Why the added checks fix the issue (bounds validation prevents reading beyond received data)\n5. The CVE identification (CVE-2014-0160)\n\nThe patch addresses the critical flaw by adding proper bounds checking before processing heartbeat requests, ensuring that the payload length claimed in the request doesn't exceed the actual data received.", "reasoning_content": null, "name": null, "tool_calls": []}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1648, "completion_tokens": 169, "total_tokens": 1817, "prompt_tokens_details": {"cached_tokens": 1600}, "cache_read_input_tokens": 1600}, "cost": {"usd": 0, "diem": 0.00033429999999999994}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}

Get new runs and ranking changes weekly